An Efficient Hyperspectral Image Retrieval Method: Deep Spectral-Spatial Feature Extraction with DCGAN and Dimensionality Reduction Using t-SNE-Based NM Hashing-Reference-Cited by-同舟云学术

An Efficient Hyperspectral Image Retrieval Method: Deep Spectral-Spatial Feature Extraction with DCGAN and Dimensionality Reduction Using t-SNE-Based NM Hashing

Published:2018-02-10 Issue:2 Volume:10 Page:271
ISSN:2072-4292
Container-title:Remote Sensing
language:en
Short-container-title:Remote Sensing

Author:

Zhang Jing,Chen Lu,Zhuo Li,Liang Xi,Li Jiafeng

Funder

National Natural Science Foundation of China

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences

Link

http://www.mdpi.com/2072-4292/10/2/271/pdf

Reference44 articles.

1. Discriminant Tensor Spectral–Spatial Feature Extraction for Hyperspectral Image Classification

2. Improving Hyperspectral Image Classification Using Spectral Information Divergence

3. Learning Low Dimensional Convolutional Neural Networks for High-Resolution Remote Sensing Image Retrieval

4. An effective hyperspectral image retrieval method using integrated spectral and textural features

5. A CBIR System for Hyperspectral Remote Sensing Images Using Endmember Extraction

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