Identification of open-pit mines and surrounding vegetation on high-resolution satellite images based on improved bilateral segmentation network semantic segmentation model-Reference-Cited by-同舟云学术

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Identification of open-pit mines and surrounding vegetation on high-resolution satellite images based on improved bilateral segmentation network semantic segmentation model

Published:2023-12-27 Issue:04 Volume:17 Page:
ISSN:1931-3195
Container-title:Journal of Applied Remote Sensing
language:
Short-container-title:J. Appl. Rem. Sens.

Author:

Chen Mian¹,Yang Bin²,Wang Feng³,Guo Yan¹,Duan Tao²

Affiliation:

1. China Agricultural University, College of Land Science and Technology, Beijing, China

2. Institute of Microelectronics of Chinese Academy of Sciences, Beijing, China

3. Chinese Academy of Forestry, State Key Laboratory of Tree Genetics and Breeding, Institute of Ecological Conservation and Restoration, Beijing, China

Publisher

SPIE-Intl Soc Optical Eng

Subject

General Earth and Planetary Sciences

Reference43 articles.

1. Monitoring the Characteristics of Ecological Cumulative Effect Due to Mining Disturbance Utilizing Remote Sensing

2. A Review of Remote Sensing for Environmental Monitoring in China

3. Ecological environment quality evaluation and evolution analysis of a rare earth mining area under different disturbance conditions

4. Biomass Estimation for Semiarid Vegetation and Mine Rehabilitation Using Worldview-3 and Sentinel-1 SAR Imagery

5. Land Cover Changes in Open-Cast Mining Complexes Based on High-Resolution Remote Sensing Data

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