Land Use Classification of High-Resolution Multispectral Satellite Images With Fine-Grained Multiscale Networks and Superpixel Postprocessing-Reference-Cited by-同舟云学术

Land Use Classification of High-Resolution Multispectral Satellite Images With Fine-Grained Multiscale Networks and Superpixel Postprocessing

Published:2023 Issue: Volume:16 Page:3264-3278
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Ma Yaobin¹^ORCID,Deng Xiaohua²,Wei Jingbo²^ORCID

Affiliation:

1. School of Resources and Environment, Nanchang University, Nanchang, China

2. Institute of Space Science and Technology, Nanchang University, Nanchang, China

Funder

National Natural Science Foundation of China

Jiangxi Provincial Institute of Water Sciences

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

http://xplorestaging.ieee.org/ielx7/4609443/9973430/10078351.pdf?arnumber=10078351

Reference41 articles.

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4. Multitemporal Very High Resolution From Space: Outcome of the 2016 IEEE GRSS Data Fusion Contest

5. Stacked denoise autoencoder based feature extraction and classification for hyperspectral images;chen;J Sensors,2016

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