Journal of Applied Remote Sensing

Papers
(The H4-Index of Journal of Applied Remote Sensing is 17. 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 2020-04-01 to 2024-04-01.)
ArticleCitations
Hyperspectral remote sensing in lithological mapping, mineral exploration, and environmental geology: an updated review86
MLNet: multichannel feature fusion lozenge network for land segmentation41
Floodwater detection in urban areas using Sentinel-1 and WorldDEM data32
GEE4FLOOD: rapid mapping of flood areas using temporal Sentinel-1 SAR images with Google Earth Engine cloud platform30
Multiscale building segmentation based on deep learning for remote sensing RGB images from different sensors29
PANDA: parallel asymmetric network with double attention for cloud and its shadow detection25
Hyperspectral change detection based on modification of UNet neural networks24
Supervised wetland classification using high spatial resolution optical, SAR, and LiDAR imagery24
Preliminary detection efficiency and false alarm rate assessment of the Geostationary Lightning Mapper on the GOES-16 satellite23
Improved U-Nets with inception blocks for building detection20
3D convolutional siamese network for few-shot hyperspectral classification19
Semisupervised graph convolutional network for hyperspectral image classification19
Using improved DeepLabv3+ network integrated with normalized difference water index to extract water bodies in Sentinel-2A urban remote sensing images18
AI-ForestWatch: semantic segmentation based end-to-end framework for forest estimation and change detection using multi-spectral remote sensing imagery17
Deep global-local transformer network combined with extended morphological profiles for hyperspectral image classification17
Machine learning and shoreline monitoring using optical satellite images: case study of the Mostaganem shoreline, Algeria17
Randomized independent component analysis and linear discriminant analysis dimensionality reduction methods for hyperspectral image classification17
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