Change Detection in VHR Images Based on Morphological Attribute Profiles

被引：88
|
作者：
Falco, Nicola [1 ,2 ]
Dalla Mura, Mauro [3 ]
Bovolo, Francesca [2 ]
Benediktsson, Jon Atli [1 ]
Bruzzone, Lorenzo [2 ]
机构：
[1] Univ Iceland, Fac Elect & Comp Engn, IS-101 Reykjavik, Iceland
[2] Univ Trento, Dept Informat Engn & Comp Sci, I-38050 Trento, Italy
[3] Grenoble Inst Technol INP, Signal & Image Dept, GIPSA Lab, F-38402 Grenoble, France
来源：
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS | 2013年 / 10卷 / 03期
关键词：
Change detection (CD); morphological attribute profiles (APs); remote sensing; very high resolution images;
D O I：
10.1109/LGRS.2012.2222340
中图分类号：
P3 [地球物理学]; P59 [地球化学];
学科分类号：
0708 ; 070902 ;
摘要：
A new approach to change detection in very high resolution remote sensing images based on morphological attribute profiles (APs) is presented. A multiresolution contextual transformation performed by APs allows the extraction of geometrical features related to the structures within the scene at different scales. The temporal changes are detected by comparing the geometrical features extracted from the image of each date. The experiments performed on panchromatic QuickBird images related to an urban area show the effectiveness of the proposed technique in detecting changes on the basis of the spatial morphology by preserving geometrical detail.
引用
收藏
页码：636 / 640
页数：5
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