Fine-Grained Land Use Remote Sensing Mapping in Karst Mountain Areas Using Deep Learning with Geographical Zoning and Stratified Object Extraction

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Fine-Grained Land Use Remote Sensing Mapping in Karst Mountain Areas Using Deep Learning with Geographical Zoning and Stratified Object Extraction

Karst mountain areas, as complex geological systems formed by carbonate rock development, possess unique three-dimensional spatial structures and hydrogeological processes that fundamentally influence regional ecosystem evolution, land resource assessment, and sustainable development strategy formul...

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Bibliographic Details
Main Authors:	Bo Li, Zhongfa Zhou, Tianjun Wu, Jiancheng Luo
Format:	Article
Language:	English
Published:	MDPI AG 2025-07-01
Series:	Remote Sensing
Subjects:	karst mountain areas fine-grained land use mapping very high resolution remote sensing images geographical zoning stratified object extraction
Online Access:	https://www.mdpi.com/2072-4292/17/14/2368
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