output
20152026
most citedDeep Learning for Hyperspectral Image Classification: An Overview

1.9k citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2019Show all

4 papers · 1 filter

cs.CV2019★ 314 cited

Invariant Attribute Profiles: A Spatial-Frequency Joint Feature Extractor for Hyperspectral Image Classification

Danfeng Hong, Xin Wu, Pedram Ghamisi +3

Up to the present, an enormous number of advanced techniques have been developed to enhance and extract the spatially semantic information in hyperspectral image processing and ana…

eess.IV2019★ 1.9k cited

Deep Learning for Hyperspectral Image Classification: An Overview

Shutao Li, Weiwei Song, Leyuan Fang +3

Hyperspectral image (HSI) classification has become a hot topic in the field of remote sensing. In general, the complex characteristics of hyperspectral data make the accurate clas…

cs.LG2019★ 28 cited

Fusion of Heterogeneous Earth Observation Data for the Classification of Local Climate Zones

Guichen Zhang, Pedram Ghamisi, Xiao Xiang Zhu

This paper proposes a novel framework for fusing multi-temporal, multispectral satellite images and OpenStreetMap (OSM) data for the classification of local climate zones (LCZs). F…

cs.CV2019★ 536 cited

Cascaded Recurrent Neural Networks for Hyperspectral Image Classification

Renlong Hang, Qingshan Liu, Danfeng Hong +1

By considering the spectral signature as a sequence, recurrent neural networks (RNNs) have been successfully used to learn discriminative features from hyperspectral images (HSIs)…