NDLI: Facet based differential registration of remote sensing images

Content Provider	IEEE Xplore Digital Library
Author	Zuxun Zhang Jianqing Zhang
Copyright Year	2001
Description	Author affiliation: Sch. of Remote Sensing Inf. Eng., Wuhan Univ., China (Zuxun Zhang)
Abstract	Registration and fusing of images are important in the synthetic application of multi-source remote sensing images, and the former is the base of the latter. Good results can be acquired in a flat region by the traditional method. However, the result is not usually good in a mountainous region using the same method, and it leads to bad image fusing. A new registration method, called "facet based differential registration" of remote sensing images, is presented. The key strong point of the method is to acquire dense control points (CPs). A dense irregular triangle network (TIN) is generated from the dense CPs. The relative registration is based on the facet of the dense TIN. The fine registrated images are assurance of fine fusing image. Some experiments using many practical examples demonstrate that the new method is suitable for registration and fusing of remote sensing images from not only mountainous regions, but also flat regions.
Starting Page	712
Ending Page	714
File Size	96605
Page Count	3
File Format	PDF
ISBN	0780370317
DOI	10.1109/IGARSS.2001.976611
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2001-07-09
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Remote sensing Polynomials Tin Master-slave Image sensors Feature extraction Image matching Digital elevation models Orbital calculations Satellites
Content Type	Text
Resource Type	Article

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