A Scale Sequence Object-based Convolutional Neural Network (SS-OCNN) for crop classification from fine spatial resolution remotely sensed imagery-Reference-Cited by-同舟云学术

A Scale Sequence Object-based Convolutional Neural Network (SS-OCNN) for crop classification from fine spatial resolution remotely sensed imagery

Author:

Li Huapeng¹²^ORCID,Zhang Ce³^ORCID,Zhang Yong²,Zhang Shuqing¹,Ding Xiaohui⁴,Atkinson Peter M.³^ORCID

Affiliation:

1. Chinese Academy of Sciences, Northeast Institute of Geography and Agroecology, Changchun, People’s Republic of China

2. School of Electrical and Information Engineering, Changchun Guanghua University, Changchun, People’s Republic of China

3. Lancaster Environment Centre, Lancaster University, Lancaster, UK

4. Guangzhou Institute of Geography, Guangzhou, People’s Republic of China

Funder

National Natural Science Foundation of China

the Capital Construction Fund of Jilin Province

Open Fund of State Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences,Computer Science Applications,Software

Link

Reference44 articles.

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