Change detection for low-frequency SAR ground surveillance

Ulander, Lars M. H.; Lundberg, Magnus; Pierson, William E.; Gustavsson, A.

doi:10.1049/ip-rsn:20050002

Cited by 89 publications

(152 citation statements)

References 9 publications

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“…In the following experiments, we consider 24 CARABAS images retrieved in the measurement campaign in northern Sweden in 2002 [1], [2]. The goal of this measurement campaign was to provide data to evaluate the performance of change detection for targets obscured by foliage.…”

Section: Resultsmentioning

confidence: 99%

“…The goal of this measurement campaign was to provide data to evaluate the performance of change detection for targets obscured by foliage. All information concerning the measurement campaign is therefore available and can be found in [1], [2].…”

Section: Resultsmentioning

confidence: 99%

“…CONSIDERATION OF IMAGE STACK Similar nomenclatures that have been used in [1] and [3] are adopted here to formulate the expressions of statistical hypothesis test for change detection.…”

Section: Statistical Hypothesis Tests Withmentioning

confidence: 99%

“…The detected changes whose dimensions are below the practical spatial resolutions of SAR system are ignored. For example, the practical spatial resolutions of CARABAS in this measurement campaign are 2.5m in azimuth and 2.5m in range as reported in [1]. With the image sample of 1m in azimuth and 1m in range, the detected changes less than or equal to 3 pixels in azimuth and 3 pixels in range are removed.…”

Section: Wavelength-resolution Sar Incoherent Change Detection Mmentioning

confidence: 99%

“…One of the first measurement campaigns with CARABAS is reported in [1], [2]. The advantages of wavelength-resolution SAR change detection can be listed as follows.…”

Section: Introductionmentioning

confidence: 99%

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Wavelength-Resolution SAR Incoherent Change Detection Based on Image Stack

2017

IEEE Geosci. Remote Sensing Lett.

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Abstract-The paper presents a wavelength-resolution SAR incoherent change detection method based on image stack, i.e. there are more than one reference or/and surveillance image. Considering image stack in statistical hypothesis test for change detection is expected to result into a simple mathematical expression for implementation and provide better change detection results. As presented in this paper, a statistical hypothesis test is developed on bivariate Gaussian distribution for an image stack of two reference and one surveillance images. The requirement for the image stack is three images associated with three measurements with no change between two of them. A detection method with simple processing scheme is proposed. The method is experimented with 24 CARABAS data sets. The results indicate that high average detection probability, e.g. 96%, with very low false alarm rate, e.g. only 0.19 per square kilometer, is obtained with the proposal.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

“…CONSIDERATION OF IMAGE STACK Similar nomenclatures that have been used in [1] and [3] are adopted here to formulate the expressions of statistical hypothesis test for change detection.…”

Section: Statistical Hypothesis Tests Withmentioning

confidence: 99%

Section: Wavelength-resolution Sar Incoherent Change Detection Mmentioning

confidence: 99%

“…One of the first measurement campaigns with CARABAS is reported in [1], [2]. The advantages of wavelength-resolution SAR change detection can be listed as follows.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations