NDLI: InSAR Coherence Estimation for Small Data Sets and Its Impact on Temporal Decorrelation Extraction

Content Provider	IEEE Xplore Digital Library
Author	Mi Jiang Xiaoli Ding Zhiwei Li Xin Tian Chisheng Wang Wu Zhu
Copyright Year	1980
Abstract	A novel coherence estimation method for small data sets is presented for interferometric synthetic aperture radar (SAR) (InSAR) data processing and geoscience applications. The method selects homogeneous pixels in both the spatial and temporal spaces by means of local and nonlocal adaptive techniques. Reliable coherence estimation is carried out by using such pixels and by correcting the bias in the estimated coherence caused by the non-Gaussianity in high-resolution SAR scenes. As an example, the proposed method together with coherence decomposition is applied to extract the temporal decorrelation component over an area in Macao. The results show that the proposed algorithms work well over various types of land cover. Moreover, the coherence change with time can be more accurately detected compared to other conventional methods.
Sponsorship	IEEE Geoscience and Remote Sensing Society IEEE URSI
Starting Page	6584
Ending Page	6596
Page Count	13
File Size	1677547
File Format	PDF
ISSN	01962892
Volume Number	52
Issue Number	10
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Coherence Synthetic aperture radar Vectors Speckle Image edge detection Decorrelation Geoscience temporal decorrelation Coherence estimation interferometric synthetic aperture radar (InSAR) small data set
Content Type	Text
Resource Type	Article
Subject	Earth and Planetary Sciences Electrical and Electronic Engineering

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