SRAD-CNN for adaptive synthetic aperture radar image classification-Reference-Cited by-同舟云学术

SRAD-CNN for adaptive synthetic aperture radar image classification

Published:2018-11-20 Issue:9 Volume:40 Page:3461-3485
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Anjun Zhang¹,Yang Xuezhi¹,Jia Lu¹,Ai Jiaqiu¹,Xia Jingfan¹

Affiliation:

1. School of Computer and Information, Anhui Province Key Laboratory of Industry Safety and Emergency and Technology, Hefei University of Technology, Hefei, Anhui, China

Funder

Anhui Province Natural Science Foundation

National Natural Science Foundations of China

Key research and development program of Anhui province

Fundamental Research Funds for the Central Universities

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2018.1547450

Reference30 articles.

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4. Spectral–Spatial Classification of Hyperspectral Data Based on Deep Belief Network

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