ISPRS Journal of Photogrammetry and Remote Sensing

Article	Citations
Review on Convolutional Neural Networks (CNN) in vegetation remote sensing	696
Google Earth Engine for geo-big data applications: A meta-analysis and systematic review	580
A deeply supervised image fusion network for change detection in high resolution bi-temporal remote sensing images	501
UNetFormer: A UNet-like transformer for efficient semantic segmentation of remote sensing urban scene imagery	247
Registration of large-scale terrestrial laser scanner point clouds: A review and benchmark	225
National wetland mapping in China: A new product resulting from object-based and hierarchical classification of Landsat 8 OLI images	208
A deep translation (GAN) based change detection network for optical and SAR remote sensing images	199
Improved land cover map of Iran using Sentinel imagery within Google Earth Engine and a novel automatic workflow for land cover classification using migrated training samples	195
Cloud removal in Sentinel-2 imagery using a deep residual neural network and SAR-optical data fusion	186
FAIR1M: A benchmark dataset for fine-grained object recognition in high-resolution remote sensing imagery	184
Mapping forest tree species in high resolution UAV-based RGB-imagery by means of convolutional neural networks	182
X-ModalNet: A semi-supervised deep cross-modal network for classification of remote sensing data	172
Oriented objects as pairs of middle lines	156
Self-attention for raw optical Satellite Time Series Classification	149
UAVid: A semantic segmentation dataset for UAV imagery	149
Mapping coastal wetlands of China using time series Landsat images in 2018 and Google Earth Engine	142
Multimodal remote sensing benchmark datasets for land cover classification with a shared and specific feature learning model	135
Efficient structure from motion for large-scale UAV images: A review and a comparison of SfM tools	131
Land-Use/Land-Cover change detection based on a Siamese global learning framework for high spatial resolution remote sensing imagery	129
PBNet: Part-based convolutional neural network for complex composite object detection in remote sensing imagery	127
Learning deep semantic segmentation network under multiple weakly-supervised constraints for cross-domain remote sensing image semantic segmentation	126
A Global Context-aware and Batch-independent Network for road extraction from VHR satellite imagery	120
Development and application of a new mangrove vegetation index (MVI) for rapid and accurate mangrove mapping	119
Remote sensing image segmentation advances: A meta-analysis	119
ABCNet: Attentive bilateral contextual network for efficient semantic segmentation of Fine-Resolution remotely sensed imagery	115

Sentinel SAR-optical fusion for crop type mapping using deep learning and Google Earth Engine	114
Deep learning-based remote and social sensing data fusion for urban region function recognition	109
HyperLi-Net: A hyper-light deep learning network for high-accurate and high-speed ship detection from synthetic aperture radar imagery	108
Mapping croplands of Europe, Middle East, Russia, and Central Asia using Landsat, Random Forest, and Google Earth Engine	108
A spatially explicit surface urban heat island database for the United States: Characterization, uncertainties, and possible applications	107
UAV in the advent of the twenties: Where we stand and what is next	106
Detection of banana plants and their major diseases through aerial images and machine learning methods: A case study in DR Congo and Republic of Benin	103
A practical approach to reconstruct high-quality Landsat NDVI time-series data by gap filling and the Savitzky–Golay filter	98
CLNet: Cross-layer convolutional neural network for change detection in optical remote sensing imagery	97
Growing status observation for oil palm trees using Unmanned Aerial Vehicle (UAV) images	96
Evaluation of Sentinel-1 & 2 time series for predicting wheat and rapeseed phenological stages	92
Identifying floods and flood-affected paddy rice fields in Bangladesh based on Sentinel-1 imagery and Google Earth Engine	91
Automated tree-crown and height detection in a young forest plantation using mask region-based convolutional neural network (Mask R-CNN)	91
A novel deep learning instance segmentation model for automated marine oil spill detection	91
Under-canopy UAV laser scanning for accurate forest field measurements	90
A review of image fusion techniques for pan-sharpening of high-resolution satellite imagery	90
SceneNet: Remote sensing scene classification deep learning network using multi-objective neural evolution architecture search	89
Local climate zone mapping as remote sensing scene classification using deep learning: A case study of metropolitan China	88
From LiDAR point cloud towards digital twin city: Clustering city objects based on Gestalt principles	87
Lidar sheds new light on plant phenomics for plant breeding and management: Recent advances and future prospects	86
An attention-fused network for semantic segmentation of very-high-resolution remote sensing imagery	86
Perception and sensing for autonomous vehicles under adverse weather conditions: A survey	85
A deep learning framework for matching of SAR and optical imagery	85
Land surface phenology as indicator of global terrestrial ecosystem dynamics: A systematic review	84
Robust deep alignment network with remote sensing knowledge graph for zero-shot and generalized zero-shot remote sensing image scene classification	83
Counting of grapevine berries in images via semantic segmentation using convolutional neural networks	81
FCCDN: Feature constraint network for VHR image change detection	80
Exploring multiscale object-based convolutional neural network (multi-OCNN) for remote sensing image classification at high spatial resolution	78
Balance learning for ship detection from synthetic aperture radar remote sensing imagery	78
Thin cloud removal in optical remote sensing images based on generative adversarial networks and physical model of cloud distortion	78
ChangeMask: Deep multi-task encoder-transformer-decoder architecture for semantic change detection	77
Parsing very high resolution urban scene images by learning deep ConvNets with edge-aware loss	77
Efficient RTM-based training of machine learning regression algorithms to quantify biophysical & biochemical traits of agricultural crops	75
An enhanced pixel-based phenological feature for accurate paddy rice mapping with Sentinel-2 imagery in Google Earth Engine	74
Automatic 3D building reconstruction from multi-view aerial images with deep learning	73
BT-RoadNet: A boundary and topologically-aware neural network for road extraction from high-resolution remote sensing imagery	72
Developing a machine learning based cotton yield estimation framework using multi-temporal UAS data	72
A coarse-to-fine boundary refinement network for building footprint extraction from remote sensing imagery	72
Field-scale crop yield prediction using multi-temporal WorldView-3 and PlanetScope satellite data and deep learning	72
Building outline delineation: From aerial images to polygons with an improved end-to-end learning framework	72
See the forest and the trees: Effective machine and deep learning algorithms for wood filtering and tree species classification from terrestrial laser scanning	68
Land-cover classification of multispectral LiDAR data using CNN with optimized hyper-parameters	68
GTP-PNet: A residual learning network based on gradient transformation prior for pansharpening	67
High-resolution triplet network with dynamic multiscale feature for change detection on satellite images	67
Estimating crop biomass using leaf area index derived from Landsat 8 and Sentinel-2 data	66
A CNN approach to simultaneously count plants and detect plantation-rows from UAV imagery	66
Airborne LiDAR point cloud classification with global-local graph attention convolution neural network	64
A robust multimodal remote sensing image registration method and system using steerable filters with first- and second-order gradients	64
Long-term monitoring of evapotranspiration using the SEBAL algorithm and Google Earth Engine cloud computing	64
A geometry-attentional network for ALS point cloud classification	64

MLRSNet: A multi-label high spatial resolution remote sensing dataset for semantic scene understanding	64
Exploring Sentinel-1 and Sentinel-2 diversity for flood inundation mapping using deep learning	63
Unsupervised semantic and instance segmentation of forest point clouds	63
Land use mapping using Sentinel-1 and Sentinel-2 time series in a heterogeneous landscape in Niger, Sahel	62
Estimation of 1-km all-weather remotely sensed land surface temperature based on reconstructed spatial-seamless satellite passive microwave brightness temperature and thermal infrared data	61
Enhanced mangrove vegetation index based on hyperspectral images for mapping mangrove	61
Large-scale rice mapping under different years based on time-series Sentinel-1 images using deep semantic segmentation model	58
Estimating daily full-coverage near surface O3, CO, and NO2 concentrations at a high spatial resolution over China based on S5P-TROPOMI and GEOS-FP	58
Learning from multimodal and multitemporal earth observation data for building damage mapping	57
DKDFN: Domain Knowledge-Guided deep collaborative fusion network for multimodal unitemporal remote sensing land cover classification	57
Characterizing urban land changes of 30 global megacities using nighttime light time series stacks	57
An end-to-end shape modeling framework for vectorized building outline generation from aerial images	57
Low rank and collaborative representation for hyperspectral anomaly detection via robust dictionary construction	56
Kernel low-rank representation with elastic net for China coastal wetland land cover classification using GF-5 hyperspectral imagery	55
Geographically and temporally weighted neural networks for satellite-based mapping of ground-level PM2.5	55
Is field-measured tree height as reliable as believed – Part II, A comparison study of tree height estimates from conventional field measurement and low-cost close-range remote sensing in a deciduous	55
Cross-regional oil palm tree counting and detection via a multi-level attention domain adaptation network	55
Mapping trees along urban street networks with deep learning and street-level imagery	55
CMGFNet: A deep cross-modal gated fusion network for building extraction from very high-resolution remote sensing images	55
Detecting tiny objects in aerial images: A normalized Wasserstein distance and a new benchmark	54
Remote sensing of chlorophyll a concentration in turbid coastal waters based on a global optical water classification system	54
HyNet: Hyper-scale object detection network framework for multiple spatial resolution remote sensing imagery	54
Identifying and mapping individual plants in a highly diverse high-elevation ecosystem using UAV imagery and deep learning	54
Active fire detection in Landsat-8 imagery: A large-scale dataset and a deep-learning study	53
Satellite-based data fusion crop type classification and mapping in Rio Grande do Sul, Brazil	53
Monitoring tree-crown scale autumn leaf phenology in a temperate forest with an integration of PlanetScope and drone remote sensing observations	53
Mapping coastal salt marshes in China using time series of Sentinel-1 SAR	52
Combined deep prior with low-rank tensor SVD for thick cloud removal in multitemporal images	52
Tropical forest canopy height estimation from combined polarimetric SAR and LiDAR using machine-learning	51
10-m-resolution mangrove maps of China derived from multi-source and multi-temporal satellite observations	51
Object-level change detection with a dual correlation attention-guided detector	51
Simultaneous investigation of surface and canopy urban heat islands over global cities	51
Mapping crop types in complex farming areas using SAR imagery with dynamic time warping	51
Deep point embedding for urban classification using ALS point clouds: A new perspective from local to global	50
Real-time Semantic Segmentation with Context Aggregation Network	50
Rapid and large-scale mapping of flood inundation via integrating spaceborne synthetic aperture radar imagery with unsupervised deep learning	50
SLAM-aided forest plot mapping combining terrestrial and mobile laser scanning	49
Vehicle detection of multi-source remote sensing data using active fine-tuning network	49
PlantNet: A dual-function point cloud segmentation network for multiple plant species	49
A semi-empirical scheme for bathymetric mapping in shallow water by ICESat-2 and Sentinel-2: A case study in the South China Sea	49
Fully convolutional recurrent networks for multidate crop recognition from multitemporal image sequences	48
Multi-scale deep feature learning network with bilateral filtering for SAR image classification	48
Mapping landscape canopy nitrogen content from space using PRISMA data	48
Wild animal survey using UAS imagery and deep learning: modified Faster R-CNN for kiang detection in Tibetan Plateau	47
Validation of baseline and modified Sentinel-2 Level 2 Prototype Processor leaf area index retrievals over the United States	47
Texture-aware total variation-based removal of sun glint in hyperspectral images	47
Cloud and cloud shadow detection for optical satellite imagery: Features, algorithms, validation, and prospects	46
Measuring residents’ perceptions of city streets to inform better street planning through deep learning and space syntax	46
A point-based deep learning network for semantic segmentation of MLS point clouds	46
A framework for large-scale mapping of human settlement extent from Sentinel-2 images via fully convolutional neural networks	46
Mapping essential urban land use categories with open big data: Results for five metropolitan areas in the United States of America	45
Combined land surface emissivity and temperature estimation from Landsat 8 OLI and TIRS	45
Deeply supervised convolutional neural network for shadow detection based on a novel aerial shadow imagery dataset	45
Water clarity in Brazilian water assessed using Sentinel-2 and machine learning methods	44
Urban functional zone mapping by integrating high spatial resolution nighttime light and daytime multi-view imagery	44
Attention aware cost volume pyramid based multi-view stereo network for 3D reconstruction	44
Gaussian processes retrieval of LAI from Sentinel-2 top-of-atmosphere radiance data	44
A differential information residual convolutional neural network for pansharpening	44
Tree species classification using structural features derived from terrestrial laser scanning	43
Individual tree detection and crown delineation from Unmanned Aircraft System (UAS) LiDAR in structurally complex mixed species eucalypt forests	43
Robust unsupervised small area change detection from SAR imagery using deep learning	43
NDVI-Net: A fusion network for generating high-resolution normalized difference vegetation index in remote sensing	42
Exploring Google Street View with deep learning for crop type mapping	42
A novel surface water index using local background information for long term and large-scale Landsat images	42
Robust normal vector estimation in 3D point clouds through iterative principal component analysis	41
Feature-preserving 3D mesh simplification for urban buildings	41
Automated digital elevation model (DEM) generation from very-high-resolution Planet SkySat triplet stereo and video imagery	41
Detecting and mapping tree seedlings in UAV imagery using convolutional neural networks and field-verified data	41
Deep spatio-spectral Bayesian posterior for hyperspectral image non-i.i.d. noise removal	41
Hybrid retrieval of crop traits from multi-temporal PRISMA hyperspectral imagery	40
Universal SAR and optical image registration via a novel SIFT framework based on nonlinear diffusion and a polar spatial-frequency descriptor	40
A geographic information-driven method and a new large scale dataset for remote sensing cloud/snow detection	40
Atmospheric and sunglint correction for retrieving chlorophyll-a in a productive tropical estuarine-lagoon system using Sentinel-2 MSI imagery	40
GAMSNet: Globally aware road detection network with multi-scale residual learning	40
Estimation of daily mean land surface temperature at global scale using pairs of daytime and nighttime MODIS instantaneous observations	40
Field-level crop yield estimation with PRISMA and Sentinel-2	39
A nested drone-satellite approach to monitoring the ecological conditions of wetlands	39
RANSAC-based multi primitive building reconstruction from 3D point clouds	39
Spatiotemporal pattern and long-term trend of global surface urban heat islands characterized by dynamic urban-extent method and MODIS data	39
Improved estimates of monthly land surface temperature from MODIS using a diurnal temperature cycle (DTC) model	39

Mapping the condition of macadamia tree crops using multi-spectral UAV and WorldView-3 imagery	39
Comparison of land surface phenology in the Northern Hemisphere based on AVHRR GIMMS3g and MODIS datasets	38
A survey on vision-based outdoor smoke detection techniques for environmental safety	38
DANCE-NET: Density-aware convolution networks with context encoding for airborne LiDAR point cloud classification	38
Analyzing spatial variability in night-time lights using a high spatial resolution color Jilin-1 image – Jerusalem as a case study	38
RETRACTED: Transformer-induced graph reasoning for multimodal semantic segmentation in remote sensing	38
A novel cotton mapping index combining Sentinel-1 SAR and Sentinel-2 multispectral imagery	37
Comprehensive time-series analysis of bridge deformation using differential satellite radar interferometry based on Sentinel-1	36
Improved retrievals of aerosol optical depth and fine mode fraction from GOCI geostationary satellite data using machine learning over East Asia	36
Dual-polarimetric descriptors from Sentinel-1 GRD SAR data for crop growth assessment	36
Monitoring surface water area variations of reservoirs using daily MODIS images by exploring sub-pixel information	36
Flood severity mapping from Volunteered Geographic Information by interpreting water level from images containing people: A case study of Hurricane Harvey	36
National-scale greenhouse mapping for high spatial resolution remote sensing imagery using a dense object dual-task deep learning framework: A case study of China	36
Current trends in deep learning for Earth Observation: An open-source benchmark arena for image classification	35
Infrared dim target detection via mode-k1k2 extension tensor tubal rank under complex ocean environment	35
Continuous space ant colony algorithm for automatic selection of orthophoto mosaic seamline network	35
A coarse-to-fine weakly supervised learning method for green plastic cover segmentation using high-resolution remote sensing images	35
EGDE-Net: A building change detection method for high-resolution remote sensing imagery based on edge guidance and differential enhancement	34
Spruce budworm tree host species distribution and abundance mapping using multi-temporal Sentinel-1 and Sentinel-2 satellite imagery	34
Application of UAV-based orthomosaics for determination of horizontal displacement caused by underground mining	34
Water body classification from high-resolution optical remote sensing imagery: Achievements and perspectives	34
FPS-Net: A convolutional fusion network for large-scale LiDAR point cloud segmentation	34
GraNet: Global relation-aware attentional network for semantic segmentation of ALS point clouds	34
Semantic feature-constrained multitask siamese network for building change detection in high-spatial-resolution remote sensing imagery	33
Estimating building height in China from ALOS AW3D30	33
Intertidal topography mapping using the waterline method from Sentinel-1 & -2 images: The examples of Arcachon and Veys Bays in France	33
GESAC: Robust graph enhanced sample consensus for point cloud registration	33
Change detection-based co-seismic landslide mapping through extended morphological profiles and ensemble strategy	33
Per-pixel land cover accuracy prediction: A random forest-based method with limited reference sample data	33
Soil moisture content retrieval from Landsat 8 data using ensemble learning	33
Crowdsourcing-based indoor mapping using smartphones: A survey	33
Characterizing and classifying urban tree species using bi-monthly terrestrial hyperspectral images in Hong Kong	33
Automated and efficient powerline extraction from laser scanning data using a voxel-based subsampling with hierarchical approach	32
Mapping salt marsh along coastal South Carolina using U-Net	32
Multi-scale adversarial network for vehicle detection in UAV imagery	32
Quantifying the shape of urban street trees and evaluating its influence on their aesthetic functions based on mobile lidar data	32
M3C2-EP: Pushing the limits of 3D topographic point cloud change detection by error propagation	32
Deep multisensor learning for missing-modality all-weather mapping	32
Radar-based multipoint displacement measurements of a 1200-m-long suspension bridge	32
Multi-modal temporal attention models for crop mapping from satellite time series	32
Performance of deep learning in mapping water quality of Lake Simcoe with long-term Landsat archive	32
Water level prediction from social media images with a multi-task ranking approach	32
Nation-wide mapping and classification of ground deformation phenomena through the spatial clustering of P-SBAS InSAR measurements: Italy case study	31
Characterizing spatiotemporal patterns of crop phenology across North America during 2000–2016 using satellite imagery and agricultural survey data	31
Active and incremental learning for semantic ALS point cloud segmentation	31
Mapping dominant leaf type based on combined Sentinel-1/-2 data – Challenges for mountainous countries	31
A label-noise robust active learning sample collection method for multi-temporal urban land-cover classification and change analysis	31
Large-scale deep learning based binary and semantic change detection in ultra high resolution remote sensing imagery: From benchmark datasets to urban application	31
Tightly-coupled camera/LiDAR integration for point cloud generation from GNSS/INS-assisted UAV mapping systems	31
The impact of anthropogenic land use change on the protected areas of the Kilombero catchment, Tanzania	31
Automated building characterization for seismic risk assessment using street-level imagery and deep learning	31
Mapping plastic materials in an urban area: Development of the normalized difference plastic index using WorldView-3 superspectral data	31
A survey of machine learning and deep learning in remote sensing of geological environment: Challenges, advances, and opportunities	30
Understanding the synergies of deep learning and data fusion of multispectral and panchromatic high resolution commercial satellite imagery for automated ice-wedge polygon detection	30
A maximum bathymetric depth model to simulate satellite photon-counting lidar performance	30
Three-dimensional photogrammetry with deep learning instance segmentation to extract berry fruit harvestability traits	30
Filtering of airborne LiDAR bathymetry based on bidirectional cloth simulation	30
Robust 3D reconstruction of building surfaces from point clouds based on structural and closed constraints	30
Local and global encoder network for semantic segmentation of Airborne laser scanning point clouds	30
Weakly-supervised domain adaptation for built-up region segmentation in aerial and satellite imagery	30
Task-specific contrastive learning for few-shot remote sensing image scene classification	30
Discriminating Xylella fastidiosa from Verticillium dahliae infections in olive trees using thermal- and hyperspectral-based plant traits	30
Cross-frame keypoint-based and spatial motion information-guided networks for moving vehicle detection and tracking in satellite videos	30
Deep learning-based individual tree crown delineation in mangrove forests using very-high-resolution satellite imagery	29
Combining graph-cut clustering with object-based stem detection for tree segmentation in highly dense airborne lidar point clouds	29
SUM: A benchmark dataset of Semantic Urban Meshes	29
Large-scale individual building extraction from open-source satellite imagery via super-resolution-based instance segmentation approach	29
A low-cost UAV framework towards ornamental plant detection and counting in the wild	29
Can we detect more ephemeral floods with higher density harmonized Landsat Sentinel 2 data compared to Landsat 8 alone?	29
Mapping PM2.5 concentration at a sub-km level resolution: A dual-scale retrieval approach	29
PolGAN: A deep-learning-based unsupervised forest height estimation based on the synergy of PolInSAR and LiDAR data	29
A deep learning semantic template matching framework for remote sensing image registration	29
Remote sensing of total suspended matter concentration in lakes across China using Landsat images and Google Earth Engine	29
Cross-spatiotemporal land-cover classification from VHR remote sensing images with deep learning based domain adaptation	28
Beyond single receptive field: A receptive field fusion-and-stratification network for airborne laser scanning point cloud classification	28
Leveraging photogrammetric mesh models for aerial-ground feature point matching toward integrated 3D reconstruction	28
Response of winter wheat to spring frost from a remote sensing perspective: Damage estimation and influential factors	28
SLAM integrated mobile mapping system in complex urban environments	28
Modeling strawberry biomass and leaf area using object-based analysis of high-resolution images	28
Robust global registration of point clouds by closed-form solution in the frequency domain	28
GLF-CR: SAR-enhanced cloud removal with global–local fusion	28
An unsupervised domain adaptation approach for change detection and its application to deforestation mapping in tropical biomes	28
From local to global: A transfer learning-based approach for mapping poplar plantations at national scale using Sentinel-2	28
Appearance based deep domain adaptation for the classification of aerial images	28
Comparison of pixel unmixing models in the evaluation of post-fire forest resilience based on temporal series of satellite imagery at moderate and very high spatial resolution	28
Deep Gaussian processes for biogeophysical parameter retrieval and model inversion	28
Structured graph based image regression for unsupervised multimodal change detection	28
Mapping fine-scale human disturbances in a working landscape with Landsat time series on Google Earth Engine	28
Urban 3D imaging using airborne TomoSAR: Contextual information-based approach in the statistical way	27
Mapping quality prediction for RTK/PPK-equipped micro-drones operating in complex natural environment	27
MiniNet: An extremely lightweight convolutional neural network for real-time unsupervised monocular depth estimation	27
End-to-end learned early classification of time series for in-season crop type mapping	27
A new weakly supervised approach for ALS point cloud semantic segmentation	27
Unmixing-based Sentinel-2 downscaling for urban land cover mapping	27
Mapping corn dynamics using limited but representative samples with adaptive strategies	27