A spatial-spectral feature based target detection framework for high‑resolution HSI-Reference-Cited by-同舟云学术

A spatial-spectral feature based target detection framework for high‑resolution HSI

Published:2021-08-17 Issue: Volume: Page:1-25
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Li Yanshan¹,Chen Shifu²,Xu Jianjie²,Tang Haojin²,Liu Wenke²

Affiliation:

1. ATR National Key Lab. Of Defense Technology, Shenzhen University, China Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen University, Shenzhen, China

2. The College of Information Engineering, Shenzhen University, Shenzhen, China

Funder

Natural Science Foundation of China

Natural Science Foundation of Guangdong Province

the other project

Shenzhen Science and Technology Project

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2021.1939917

Reference41 articles.

1. Deep Learning With Attribute Profiles for Hyperspectral Image Classification

2. Generalized likelihood ratio tests for change detection in diffusion tensor images: Application to multiple sclerosis

3. Deep Learning-Based Classification of Hyperspectral Data

4. Deep Feature Extraction and Classification of Hyperspectral Images Based on Convolutional Neural Networks

5. Target Detection Based on Random Forest Metric Learning

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