Superpixel Segmentation Based on Anisotropic Diffusion Model for Object-oriented Remote Sensing Image Classification-Reference-Cited by-同舟云学术

Superpixel Segmentation Based on Anisotropic Diffusion Model for Object-oriented Remote Sensing Image Classification

Published:2023 Issue: Volume: Page:1-19
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:

Li Xiaoli¹^ORCID,Chen Jinsong¹,Zhao Longlong¹^ORCID,Li Hongzhong¹,Wang Jin²,Sun Luyi¹^ORCID,Guo Shanxin¹^ORCID,Chen Pan¹,Zhao Xuemei³

Affiliation:

1. Center for Geospatial Information, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences and the Shenzhen Engineering Laboratory of Ocean Environmental Big Data Analysis and Application, Shenzhen, China

2. School of Geography, South China Normal University, Guangzhou, China

3. School of Electronic Engineering and Automation, Guilin University of Electronic Technology, Guilin, China

Funder

National Natural Science Foundation of China

Fundamental Research Foundation of Shenzhen Technology and Innovation Council

Fundamental Research Foundation of Shenzhen Science and Technology Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

http://xplorestaging.ieee.org/ielx7/4609443/4609444/10286067.pdf?arnumber=10286067

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