NDLI: Feature guided multi-window area-based matching method for urban remote sensing stereo pairs

Content Provider	IEEE Xplore Digital Library
Author	Mingjie Qiu Ye Zhang
Copyright Year	2015
Description	Author affiliation: Dept. of Inf. Eng., Harbin Inst. of Technol., Harbin, China (Mingjie Qiu; Ye Zhang)
Abstract	This paper presents a feature guided multi-window area-based matching method for urban remote sensing stereo pairs. The method achieves the goal that producing dense disparity maps for urban remote sensing stereo pairs. The proposed method can be divided into four stages: feature-based matching, edge support region extraction, area-based matching and post-processing. The point feature matching is applied firstly as it provides precise matching results of few points, which can be used to restrict the searching range of area-based matching process. Then, building edges are extracted by an efficient line segment detector. In order to enhance the accuracy of the area-based matching, edge support regions are derived from these edges and multi-windows are applied during the area-based matching to preserve details of edges. Finally the post-processing including interpolation and filtering is applied to heighten the completeness and accuracy of the disparity map.
Starting Page	4510
Ending Page	4513
File Size	401626
Page Count	4
File Format	PDF
e-ISBN	9781479979295
DOI	10.1109/IGARSS.2015.7326830
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-07-26
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image edge detection Accuracy Feature extraction Remote sensing Buildings Detectors Image segmentation disparity map Area-based matching multi-window stereo pair urban image
Content Type	Text
Resource Type	Article

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