International Journal of Remote Sensing

(The H4-Index of International Journal of Remote Sensing is 30. 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 2020-07-01 to 2024-07-01.)
An innovative echo detection system with STM32 gated and PMT adjustable gain for airborne LiDAR91
Information-theoretic feature selection with segmentation-based folded principal component analysis (PCA) for hyperspectral image classification88
Design of supercontinuum laser hyperspectral light detection and ranging (LiDAR) (SCLaHS LiDAR)76
A machine learning-based strategy for estimating non-optically active water quality parameters using Sentinel-2 imagery68
Assessing of Urban Vegetation Biomass in Combination with LiDAR and High-resolution Remote Sensing Images60
A2-FPN for semantic segmentation of fine-resolution remotely sensed images57
MANet: a multi-level aggregation network for semantic segmentation of high-resolution remote sensing images54
DAU-Net: a novel water areas segmentation structure for remote sensing image53
Spatio-temporal analysis of land use and land cover change: a systematic model inter-comparison driven by integrated modelling techniques53
PolarDet: a fast, more precise detector for rotated target in aerial images51
Advancements in the remote sensing of landscape pattern of urban green spaces and vegetation fragmentation49
Dual attention deep fusion semantic segmentation networks of large-scale satellite remote-sensing images47
Deep learning-based multi-feature semantic segmentation in building extraction from images of UAV photogrammetry47
Documentation, Three-Dimensional (3D) Modelling and visualization of cultural heritage by using Unmanned Aerial Vehicle (UAV) photogrammetry and terrestrial laser scanners47
Prediction of InSAR deformation time-series using a long short-term memory neural network47
Cloud/shadow segmentation based on global attention feature fusion residual network for remote sensing imagery46
New SAR target recognition based on YOLO and very deep multi-canonical correlation analysis45
A comprehensive review on remote sensing image registration44
Cloud/shadow segmentation based on multi-level feature enhanced network for remote sensing imagery42
Assessing Crop Water Stress Index of Citrus Using In-Situ Measurements, Landsat, and Sentinel-2 Data40
Spatiotemporal Fusion of Remote Sensing Images using a Convolutional Neural Network with Attention and Multiscale Mechanisms38
Deep learning-based dead pine tree detection from unmanned aerial vehicle images37
Parametric study of convolutional neural network based remote sensing image classification35
Evaluating generative adversarial networks based image-level domain transfer for multi-source remote sensing image segmentation and object detection34
Mapping winter-wheat biomass and grain yield based on a crop model and UAV remote sensing32
Machine learning approaches for rice crop yield predictions using time-series satellite data in Taiwan32
Fast and accurate land-cover classification on medium-resolution remote-sensing images using segmentation models31
CNN-based fusion and classification of SAR and Optical data31
Convolutional neural networks for water segmentation using sentinel-2 red, green, blue (RGB) composites and derived spectral indices30
A phenological object-based approach for rice crop classification using time-series Sentinel-1 Synthetic Aperture Radar (SAR) data in Taiwan30
Small sample classification of hyperspectral image using model-agnostic meta-learning algorithm and convolutional neural network30
Modelling the intensity of surface urban heat island and predicting the emerging patterns: Landsat multi-temporal images and Tehran as case study30
NestNet: a multiscale convolutional neural network for remote sensing image change detection30
Ekman dynamics variability along the southern coast of Java revealed by satellite data30