A challenge problem for detection of targets in foliage

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

doi:10.1117/12.663594

Cited by 74 publications

(257 citation statements)

References 2 publications

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“…The change detection results reported in Table I show an average probability of detection of more than 96% with less than 0.2 false alarms per square kilometer. Hence, the performance of the proposal is better than the change detection results presented in [2]. With a similar average probability of detection, the false alarm rate has been reduced with a factor of about 4.…”

Section: Discussionmentioning

confidence: 74%

“…The selection of images for the experiments is identical to [1], [2] so that the performance of the proposed method is easy to be evaluated and compared. The images associated with the illumination 2 are selected based on the mission, the flight heading of both the illuminations 1 and 3 as shown in Table I.…”

Section: B Change Detection Resultsmentioning

confidence: 99%

“…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%

“…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: Discussionmentioning

confidence: 74%

Section: B Change Detection Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

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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