Subpixel Mapping for Remote Sensing Imagery Based on Spatial Adaptive Attraction Model and Conditional Random Fields-Reference-Cited by-同舟云学术

Subpixel Mapping for Remote Sensing Imagery Based on Spatial Adaptive Attraction Model and Conditional Random Fields

Published:2023 Issue: Volume:16 Page:1624-1640
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:

Chen Yujia¹^ORCID,Huang Cheng²^ORCID,Yang Cheng³^ORCID,Peng Junhuan³^ORCID,Zhang Jun¹,Wang Yuxian³,Yao Zhengxue⁴,Chen Guang⁵,Yu Wenhua⁶,Liu Qinghao⁷

Affiliation:

1. National Geomatics Center of China, Beijing, China

2. School of Land and Resources Engineering, Kunming University of Science and Technology, Kunming, China

3. School of Land Science and Technology, China University of Geosciences, Beijing, China

4. Gansu Academy of Sciences, Lanzhou, China

5. Chongqing Survey Institute, Chongqing, China

6. Beijing Chusudu Technology Co., Ltd., Beijing, China

7. Central South University, Changsha, China

Funder

National Natural Science Foundation of China

Ministry of Natural Resources of the People's Republic of China

Construction of Geological Hazard Identification Center in Yunnan Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

Reference44 articles.

4. Conditional random fields: Probabilistic models for segmenting and labeling sequence data;lafferty,2001

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