Model and context-driven building extraction in dense urban aerial images

被引：50

作者：

Peng, J ^{[1
]}

Liu, YC ^{[1
]}

机构：

[1] Shanghai Jiao Tong Univ, Inst Image Proc & Pattern Recognit, Shanghai 200030, Peoples R China

来源：

INTERNATIONAL JOURNAL OF REMOTE SENSING | 2005年 / 26卷 / 07期

关键词：

D O I：

10.1080/01431160512331326675

中图分类号：

TP7 [遥感技术];

学科分类号：

081102 ; 0816 ; 081602 ; 083002 ; 1404 ;

摘要：

This paper presents a method to extract buildings in monocular urban aerial images without prior knowledge of illumination. With a building concept model to interpret buildings at different levels and scales, building extraction is carried out in two stages: sunshine parts extraction and self-shadow parts extraction. Based on region-oriented radiometric features, images are first simplified and segmented into three parts: sunshine parts of high objects, shadow regions and sunshine ground. To verify initial segmentations, a method of estimating the direction of shadow cast was proposed by a shadow context model. Building extractions were then refined by context and a modified partial snake model with the aid of the shadow cast direction, thus sharply reducing the iteration complexity and the influence of illumination. An innovative method for extracting self-shadows on gable roofs is also discussed.

引用

页码：1289 / 1307

页数：19

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