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20202022
most citedMore Diverse Means Better: Multimodal Deep Learning Meets Remote Sensing Imagery Classification

1.4k citations · 1.7k across the 8 of their papers we have counts for

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cs.CV20222 cited

Hyperspectral Unmixing Based on Nonnegative Matrix Factorization: A Comprehensive Review

Xin-Ru Feng, Heng-Chao Li, Rui Wang +3

Hyperspectral unmixing has been an important technique that estimates a set of endmembers and their corresponding abundances from a hyperspectral image (HSI). Nonnegative matrix fa…

cs.CV2022

Adaptive Cross-Attention-Driven Spatial-Spectral Graph Convolutional Network for Hyperspectral Image Classification

Jin-Yu Yang, Heng-Chao Li, Wen-Shuai Hu +2

Recently, graph convolutional networks (GCNs) have been developed to explore spatial relationship between pixels, achieving better classification performance of hyperspectral image…

cs.CV2022149 cited

A3CLNN: Spatial, Spectral and Multiscale Attention ConvLSTM Neural Network for Multisource Remote Sensing Data Classification

Heng-Chao Li, Wen-Shuai Hu, Wei Li +3

The problem of effectively exploiting the information multiple data sources has become a relevant but challenging research topic in remote sensing. In this paper, we propose a new…

cs.CV2022108 cited

Adaptive DropBlock Enhanced Generative Adversarial Networks for Hyperspectral Image Classification

Junjie Wang, Feng Gao, Junyu Dong +1

In recent years, hyperspectral image (HSI) classification based on generative adversarial networks (GAN) has achieved great progress. GAN-based classification methods can mitigate…

cs.CV2021

Superpixel-guided Discriminative Low-rank Representation of Hyperspectral Images for Classification

Shujun Yang, Junhui Hou, Yuheng Jia +2

In this paper, we propose a novel classification scheme for the remotely sensed hyperspectral image (HSI), namely SP-DLRR, by comprehensively exploring its unique characteristics,…

cs.CV20201.4k cited

More Diverse Means Better: Multimodal Deep Learning Meets Remote Sensing Imagery Classification

Danfeng Hong, Lianru Gao, Naoto Yokoya +4

Classification and identification of the materials lying over or beneath the Earth's surface have long been a fundamental but challenging research topic in geoscience and remote se…