Jón Atli Benediktsson

Land cover change detection with hyperspectral remote sensing images: A survey

Novel Adaptive Region Spectral–Spatial Features for Land Cover Classification With High Spatial Resolution Remotely Sensed Imagery

Iterative Training Sample Augmentation for Enhancing Land Cover Change Detection Performance With Deep Learning Neural Network

Spatial-Contextual Information Utilization Framework for Land Cover Change Detection With Hyperspectral Remote Sensed Images

Hierarchical Attention Feature Fusion-Based Network for Land Cover Change Detection With Homogeneous and Heterogeneous Remote Sensing Images

Novel Enhanced UNet for Change Detection Using Multimodal Remote Sensing Image

Novel Land-Cover Classification Approach With Nonparametric Sample Augmentation for Hyperspectral Remote-Sensing Images

Sample Iterative Enhancement Approach for Improving Classification Performance of Hyperspectral Imagery

Land Cover Change Detection With Heterogeneous Remote Sensing Images: Review, Progress, and Perspective

Spatial–Spectral Attention Network Guided With Change Magnitude Image for Land Cover Change Detection Using Remote Sensing Images

Landslide Inventory Mapping on VHR Images via Adaptive Region Shape Similarity

Diagnostic Analysis on Change Vector Analysis Methods for LCCD Using Remote Sensing Images

Scheduling-Guided Automatic Processing of Massive Hyperspectral Image Classification on Cloud Computing Architectures

Multisource and Multitemporal Data Fusion in Remote Sensing: A Comprehensive Review of the State of the Art

Remotely sensed big data: evolution in model development for information extraction [point of view]

New Frontiers in Spectral-Spatial Hyperspectral Image Classification: The Latest Advances Based on Mathematical Morphology, Markov Random Fields, Segmentation, Sparse Representation, and Deep Learning

Hyperspectral Anomaly Detection With Attribute and Edge-Preserving Filters

Oil Spill Detection via Multitemporal Optical Remote Sensing Images: A Change Detection Perspective

Big Data for Remote Sensing: Challenges and Opportunities

Spectral-Spatial Hyperspectral Image Classification Using Subspace-Based Support Vector Machines and Adaptive Markov Random Fields

Multiple Feature Learning for Hyperspectral Image Classification

Spectral Derivative Features for Classification of Hyperspectral Remote Sensing Images: Experimental Evaluation