Hyperspectral remote sensing image retrieval system using spectral and texture features-Reference-Cited by-同舟云学术

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Hyperspectral remote sensing image retrieval system using spectral and texture features

Published:2017-05-31 Issue:16 Volume:56 Page:4785
ISSN:0003-6935
Container-title:Applied Optics
language:en
Short-container-title:Appl. Opt.

Author:

Zhang Jing,Geng Wenhao,Liang Xi,Li Jiafeng,Zhuo Li,Zhou Qianlan

Funder

National Natural Science Foundation of China (NSFC)

Natural Science Foundation of Beijing Municipality

Importation and Development of High-Caliber Talents Project of Beijing Municipal Institutions

Funding Project for Academic Human Resources Development in Institutions of Higher Learning Under the Jurisdiction of Beijing Municipality

Publisher

The Optical Society

Reference22 articles.

1. Recent advances in techniques for hyperspectral image processing

2. Imaging Spectroscopy and the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS)

3. Multiscale target extraction using a spectral saliency map for a hyperspectral image

4. A Novel Active Learning Method in Relevance Feedback for Content-Based Remote Sensing Image Retrieval

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