Multiclass feature learning for hyperspectral image classification: Sparse and hierarchical solutions

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Multitemporal Very High Resolution From Space: Outcome of the 2016 IEEE GRSS Data Fusion Contest

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Wide-Area Land Cover Mapping With Sentinel-1 Imagery Using Deep Learning Semantic Segmentation Models

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Geometry-Aware Deep Recurrent Neural Networks for Hyperspectral Image Classification

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Hyperspectral Image Classification via Compressive Sensing

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Large-Scale Feature Selection With Gaussian Mixture Models for the Classification of High Dimensional Remote Sensing Images

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A CNN-Based Approach for Automatic Building Detection and Recognition of Roof Types Using a Single Aerial Image

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Improving Spatial Feature Representation from Aerial Scenes by Using Convolutional Networks

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Discriminative Graph-Based Fusion of HSI and LiDAR Data for Urban Area Classification

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On the Effect of Spatially Non-Disjoint Training and Test Samples on Estimated Model Generalization Capabilities in Supervised Classification With Spatial Features

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Decision Fusion With Multiple Spatial Supports by Conditional Random Fields

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NASA NeMO-Net's Convolutional Neural Network: Mapping Marine Habitats with Spectrally Heterogeneous Remote Sensing Imagery

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Feature Extraction of Hyperspectral Images With Semisupervised Graph Learning

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Intrinsic Image Recovery From Remote Sensing Hyperspectral Images

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Nonconvex Regularization in Remote Sensing

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Mask-R-FCN: A Deep Fusion Network for Semantic Segmentation

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Digital Mapping of Soil Available Phosphorus Supported by AI Technology for Precision Agriculture

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Multiscale Satellite Image Classification Using Deep Learning Approach

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Compact Deep Color Features for Remote Sensing Scene Classification

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Learning Deep Features on Multiple Scales for Coffee Crop Recognition

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