Open AccessProceedings Article
Change detection techniques for ERS-1 SAR data
Eric Rignot,J.J. van Zyl +1 more
- Vol. 31, Iss: 4, pp 896-906
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TLDR
Several techniques for detecting temporal changes in satellite synthetic-aperture radar (SAR) imagery are compared, using both theoretical predictions and spaceborne SAR data collected by the first European Remote Sensing Satellite, ERS-1.Abstract:
Several techniques for detecting temporal changes in satellite synthetic-aperture radar (SAR) imagery are compared, using both theoretical predictions and spaceborne SAR data collected by the first European Remote Sensing Satellite, ERS-1. In a first set of techniques, changes are detected based on differences in the magnitude of the signal intensity between two dates. Ratioing of the multidate radar intensities is shown to be better adapted to the statistical characteristics of SAR data than subtracting, and works best when the number of looks is large. In a second set of techniques, changes are detected based on estimates of the temporal decorrelation of speckle. This method works best with one-look complex amplitude data, but can also be used with intensity data provided that the number of looks is small. The two techniques are compared using actual SAR data collected by ERS-1. The results illustrate the viability as well as the complementary character of these techniques for detecting changes in the structural and dielectric properties of remotely sensed surfaces. >read more
Citations
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Change detection techniques
TL;DR: This paper is a comprehensive exploration of all the major change detection approaches implemented as found in the literature and summarizes and reviews these techniques.
Image change detectio algorithms : A systematic survey
TL;DR: A systematic survey of the common processing steps and core decision rules in modern change detection algorithms, including significance and hypothesis testing, predictive models, the shading model, and background modeling is presented.
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Change detection from remotely sensed images: From pixel-based to object-based approaches
TL;DR: This paper begins with a discussion of the traditionally pixel-based and (mostly) statistics-oriented change detection techniques which focus mainly on the spectral values and mostly ignore the spatial context, followed by a review of object-basedchange detection techniques.
Journal ArticleDOI
An unsupervised approach based on the generalized Gaussian model to automatic change detection in multitemporal SAR images
TL;DR: Experiments carried out on two sets of multitemporal images acquired by the European Remote Sensing 2 satellite SAR sensor confirm the effectiveness of the proposed unsupervised approach, which results in change-detection accuracies very similar to those that can be achieved by a manual supervised thresholding.
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Coherence estimation for SAR imagery
TL;DR: The accuracy of coherence estimation is investigated as a function of the coherence map resolution and it is established that the magnitude of the averaged sample coherence estimate is slightly biased for high-resolution coherence maps and that the bias reduces with coarser resolution.
References
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Review Article Digital change detection techniques using remotely-sensed data
TL;DR: An evaluation of results indicates that various procedures of change detection produce different maps of change even in the same environment.
Journal ArticleDOI
Decorrelation in interferometric radar echoes
Howard A. Zebker,J. Villasenor +1 more
TL;DR: It is found that there is decorrelation increasing with time but that digital terrain model generation remains feasible and such a technique could provide a global digital terrain map.
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A statistical and geometrical edge detector for SAR images
Ridha Touzi,A. Lopes,P. Bousquet +2 more
TL;DR: The decision threshold can be theoretically determined for a given probability of false alarm as a function of the number of looks of the image under study and the size of the processing neighborhood.
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Generalized K distribution: a statistical model for weak scattering
E. Jakeman,R. J. A. Tough +1 more
TL;DR: In this article, the generalized K model with a non-uniform distribution of phase by a fluctuating population of objects is derived on the bases of simpler and more general arguments.
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The Active Microwave Instrument on-board the ERS-1 satellite
TL;DR: The Active Microwave Instrument (AMI) as mentioned in this paper is a combination of a C-band (5.3 GHz), VV polarization, synthetic aperture radar (SAR) and a wind scatterometer.