Journal of Applied Remote Sensing

Papers
(The H4-Index of Journal of Applied Remote Sensing is 13. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-10-01 to 2025-10-01.)
ArticleCitations
FAFFENet: frequency attention and feature fusion enhancement network for multiscale remote sensing target detection58
Model functions for retrieving sea surface wind speed with wide-swath imaging altimeter48
Special Section Guest Editorial: Unmanned Systems and Satellites: a Synergy for Added-value Possibilities28
Multimode Gaofen-3 product long-term geolocation accuracy performance25
Digital surface model generation from aerial imagery using bridge probability relaxation matching21
LiDAR technology and experimental research for comprehensive measurement of atmospheric transmittance, turbulence, and wind19
Comparative evaluation of backpropagation neural network and genetic algorithm-backpropagation neural network models for PM2.5 concentration prediction based on aerosol optical depth, meteorological f19
Aerial image defogging method based on nonlocal feature structure tensor by UAV cameras with three-channel RGB cameras16
Continual domain adaptation on aerial images under gradually degrading weather16
Accuracy evaluation of UAS photogrammetry and structure from motion in 3D modeling and volumetric calculations15
Optical and SAR image fusion method with coupling gain injection and guided filtering14
Unsupervised multistage registration method for remote sensing images with large geometric deformation14
Improved urban flood detection in deeper floods using synthetic aperture radar double-scattering intensity and interferometric coherence14
Use of satellite application facility on land surface analysis products to improve an operational method for monitoring forest evapotranspiration13
Rural land cover mapping using short-term Sentinel-2 temporal composites and machine learning13
Construction of a small sample dataset and identification of Pitaya trees (Selenicereus) based on UAV image on close-range acquisition13
Cloud removal for optical remote sensing imagery using the SPA-CycleGAN network13
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