Pixel–Scene–Pixel–Object Sample Transferring: A Labor-Free Approach for High-Resolution Plastic Greenhouse Mapping-Reference-Cited by-同舟云学术

Pixel–Scene–Pixel–Object Sample Transferring: A Labor-Free Approach for High-Resolution Plastic Greenhouse Mapping

Published:2023 Issue: Volume:61 Page:1-17
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Zhang Peng¹^ORCID,Guo Shanchuan¹^ORCID,Zhang Wei¹^ORCID,Lin Cong²^ORCID,Xia Zilong¹,Zhang Xingang¹^ORCID,Fang Hong¹^ORCID,Du Peijun¹^ORCID

Affiliation:

1. School of Geography and Ocean Science, Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Key Laboratory for Land Satellite Remote Sensing Applications of Ministry of Natural Resources, Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing University, Nanjing, China

2. Nanjing Research Institute of Surveying, Mapping and Geotechnical Investigation Company Ltd., Nanjing, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Program A for Outstanding Ph.D. Candidate of Nanjing University

Research Project of Nanjing Research Institute of Surveying, Mapping and Geotechnical Investigation Company Ltd

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10006360/10070846.pdf?arnumber=10070846

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5. Greenhouses detection using an artificial neural network with a very high resolution satellite image;carvajal;Proc ISPRS Tech Commission II Symp,2006

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