Generating annual high resolution land cover products for 28 metropolises in China based on a deep super-resolution mapping network using Landsat imagery-Reference-Cited by-同舟云学术

Generating annual high resolution land cover products for 28 metropolises in China based on a deep super-resolution mapping network using Landsat imagery

Published:2022-11-16 Issue:1 Volume:59 Page:2036-2067
ISSN:1548-1603
Container-title:GIScience & Remote Sensing
language:en
Short-container-title:GIScience & Remote Sensing

Author:

He Da¹²,Shi Qian¹²^ORCID,Liu Xiaoping¹²,Zhong Yanfei³,Xia Guisong³,Zhang Liangpei³

Affiliation:

1. School of Geography and Planning, Sun Yat-sen University, Guangzhou, China

2. Guangdong Provincial Key Laboratory for Urbanization and Geo-simulation, Guangzhou, China

3. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China

Funder

China Postdoctoral Science Foundation

National Key Research and Development Program of China

National Natural Science Foundation of China

Natural Science Foundation of Guangdong Province

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/15481603.2022.2142727

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4. Markov-random-field-based super-resolution mapping for identification of urban trees in VHR images

5. CNN based sub-pixel mapping for hyperspectral images

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