A high-resolution remote sensing image building extraction method based on deep learning;基于深度学习的高分辨率遥感影像建筑物提取方法

Cehui Xuebao/Acta Geodaetica et Cartographica Sinica

Volumn 48, Issue 1, 2019, Pages 34-41

  Fan, Rongshuang ^a,b   Chen, Yang ^a,b   Xu, Qiheng ^c   Wang, Jingxue ^a  

^a LIAONING TECHNICAL UNIVERSITY   (China)

^b CHINESE ACADEMY OF SURVEYING AND MAPPING   (China)

^c Dongguan Institute of Surveying and Mapping   (China)

Author keywords

Adaptive pooling model; Building information extraction; Deep Learning; High resolution remote sensing image

Indexed keywords

BUILDINGS; IMAGE PROCESSING; PRINCIPAL COMPONENT ANALYSIS; REMOTE SENSING; TEXTURES;

BUILDING EXTRACTION; FEATURE INFORMATION; HIGH RESOLUTION REMOTE SENSING IMAGES; INCOMPLETE BOUNDARIES; REMOTE SENSING IMAGES; TRADITIONAL BUILDINGS; VERY HIGH RESOLUTION; WAVE TRANSFORMATIONS;

DEEP LEARNING;

ADAPTIVE MANAGEMENT; CLASSIFICATION; EXTRACTION METHOD; IMAGE ANALYSIS; IMAGE CLASSIFICATION; IMAGE RESOLUTION; INFORMATION MANAGEMENT; MACHINE LEARNING; OPTICAL PROPERTY; PRECISION; REMOTE SENSING; TEXTURE;

EID: 85062002479     PISSN: 10011595     EISSN: None     Source Type: Journal    
DOI: 10.11947/j.AGCS.2019.20170638     Document Type: Article

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