Change detection techniques for ERS-1 SAR data

Rignot, Eric; Zyl, J.J. van

doi:10.1109/36.239913

Cited by 572 publications

(307 citation statements)

References 17 publications

(14 reference statements)

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“…The difference between the radar intensities can be computed considering both linear and dB (i.e., logarithmic) units, although the use of the latter is generally recommended because a difference in dB units corresponds to apply the ratio operator that was shown to be better adapted to the statistical characteristics of SAR data (e.g. Rignot and van Zyl, 1993).…”

Section: The Fuzzy Approachmentioning

confidence: 99%

An algorithm for operational flood mapping from Synthetic Aperture Radar (SAR) data using fuzzy logic

Pulvirenti

Pierdicca

Chini

et al. 2011

Nat. Hazards Earth Syst. Sci.

232

140

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Abstract. An algorithm developed to map flooded areas from synthetic aperture radar imagery is presented in this paper. It is conceived to be inserted in the operational flood management system of the Italian Civil Protection and can be used in an almost automatic mode or in an interactive mode, depending on the user's needs. The approach is based on the fuzzy logic that is used to integrate theoretical knowledge about the radar return from inundated areas taken into account by means of three electromagnetic scattering models, with simple hydraulic considerations and contextual information. This integration aims at allowing a user to cope with situations, such as the presence of vegetation in the flooded area, in which inundation mapping from satellite radars represents a difficult task. The algorithm is designed to work with radar data at L, C, and X frequency bands and employs also ancillary data, such as a land cover map and a digital elevation model. The flood mapping procedure is tested on an inundation that occurred in Albania on January 2010 using COSMO-SkyMed very high resolution X-band SAR data.

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Section: The Fuzzy Approachmentioning

confidence: 99%

An algorithm for operational flood mapping from Synthetic Aperture Radar (SAR) data using fuzzy logic

Pulvirenti

Pierdicca

Chini

et al. 2011

Nat. Hazards Earth Syst. Sci.

232

140

View full text Add to dashboard Cite

show abstract

“…4(d) and (e) shows the histograms of the intensity ratio and the coherence of these selected areas from data set I. The intensity ratio, known as the generalized variance ratio in terms of statistics, has been demonstrated the ability to distinguish different crops by identifying changes in the mean backscatter power [31]. The coherence has also been used in change detection applications such as urban monitoring and the effect of floods [32], [33].…”

Section: B Analysis Of the MI Through Selected Agricultural Fieldsmentioning

confidence: 99%

A New Coherent Similarity Measure for Temporal Multichannel Scene Characterization

Erten¹,

Reigber

Ferro-Famil

et al. 2012

IEEE Trans. Geosci. Remote Sensing

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Abstract-This paper proposes a new method for a measure of coherent similarity between temporal multichannel synthetic aperture radar (SAR) images and its implementation to change detection application. The method is based on mutual information (MI) from information theory. The MI measures the amount of information in common between coherent temporal multichannel SAR acquisitions. In order to develop an algorithm for all kinds of SAR images, such as interferometric SAR, polarimetric-interferometric SAR (PolInSAR), and partial PolIn-SAR, first, the joint density function of temporal multichannel images based on their second-order statistics has been derived. Then, the derived joint density function is used to calculate an analytical expression for the MI between temporal images, which is assumed to be maximal if the temporal images are identical. Although, in this paper, a new coherent similarity measure has analytically been derived for temporal polarimetric SAR images based on complex Wishart process in time, since the mathematical formulation is general, it can equally well be implemented into any kind of multivariate remote sensing data, such as multispectral optical and interferometric images after small continuation. This derived quantity has been implemented for change detection application whose aim is to characterize the temporal behavior of the acquisitions. A comparison between the proposed and the other well-known change detection methods by means of scene characterization is shown, describing the advantages due to the fact that the proposed change detector involves almost every facet of applied change detection.

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“…How to detect and automatically analyze information on change in the terrain surfaces is a key issue in remote sensing [66][67][68][69][70][71]. In this section, two-thresholds EM and MRF algorithm (2EM-MRF) is developed to detect the change direction of backscattering enhanced, reduced and unchanged regimes from the SAR difference image [31,36].…”

Section: Change Detection Of Terrain Surface From Multi-temporal Sar mentioning

confidence: 99%

Polarimetric Scattering Modeling and Information Retrieval of Sar Remote Sensing --- A Review of Fdu Work

Jin

2010

PIER

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Abstract-Synthetic aperture radar (SAR) imagery technology is one of most important advances in space-borne microwave remote sensing during recent decades. Completely polarimetric scattering from complex terrain surfaces can be measured. Polarimetric SAR (POLSAR), and its relevant technologies, such as POL-interferometric SAR (POLINSAR), bistatic SAR (POL-BISAR), high resolution (in m and dm resolution) SAR, inverse SAR (ISAR) etc., have been providing rich all-weather, all-time and high-resolution data and images of active miscrowave remote sensing. Fully understanding and retrieving information from polarimetric scattering signatures of natural media and SAR images have become a key issue for the SAR remote sensing and its broad applications. Many researches on polarimetric scattering and SAR imagery technology have been carried out (e.g., [1][2][3][4][5][6]). This paper presents a review of the research works in Fudan University (FDU) during recent years on theoretical modeling of the terrain surface for polarimetric scattering simulation and Mueller matrix solution, mono-static and bistatic SAR image simulation, new parameters for unsupervised surface classification, DEM inversion, change detection from multi-temporal SAR images, and reconstructions of buildings from multi-aspect SAR images, etc. . Some applications are briefly reported.Corresponding author: Y.-Q. Jin (yqjin@fudan.ac.cn).

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Change detection techniques for ERS-1 SAR data

Cited by 572 publications

References 17 publications

An algorithm for operational flood mapping from Synthetic Aperture Radar (SAR) data using fuzzy logic

An algorithm for operational flood mapping from Synthetic Aperture Radar (SAR) data using fuzzy logic

A New Coherent Similarity Measure for Temporal Multichannel Scene Characterization

Polarimetric Scattering Modeling and Information Retrieval of Sar Remote Sensing --- A Review of Fdu Work

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