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Comparison of segmentation methods with standard CFAR ...
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由 I McConnell 著作1998被引用 17 次 — The paper considers the problem of detecting point-like targets in SAR imagery. We review the theory of constant false alarm rate (CFAR) detection, ...
Comparison of segmentation methods with standard CFAR for ...
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This paper proposes a target-detection scheme based on prior segmentation of the image that eliminates many false target detections from background ...
Comparison of segmentation methods with standard CFAR for point ...
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Bibliographic details on Comparison of segmentation methods with standard CFAR for point target detection.
Target segmentation and aspect estimation in synthetic aperture ...
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In this paper, we consider the advantages that segmentation can give towards detecting sub-pixel point targets in hyperspectral imagery.
A segmentation-based CFAR algorithm for subsurface targets ...
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This paper introduces a new framework for point target detection in synthetic aperture radar (SAR) images. We focus on the task of locating reflective small ...
A Comparison of CFAR Object Detection Algorithms for ...
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由 L Færch 著作被引用 6 次 — Abstract. In this study, we pursue two objectives: first, we compare six different “Constant-False-Alarm-Rate" (CFAR) algorithms for. 10 iceberg detection ...
A New SAR Image Segmentation Algorithm for the ...
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由 S Huang 著作2016被引用 30 次 — This paper proposes a new SAR image segmentation method based on wavelet decomposition and a constant false alarm rate (WD-CFAR).
Comparison of estimators for correlation properties of K-distributed ...
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Conference Proceedings Comparison of segmentation methods with standard CFAR for point target detection. McConnell,I., Oliver,C.J.. SPIE - The International ...
analysis of man-made target detection in sar imagery
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A Comparison of Segmentation Methods with Standard Cfar for Point Target Detection · Chris J. OliverbaN. Engineering, Environmental Science. 1998. The paper ...
Mixed segmentation-detection-based technique for point target ...
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This paper deals with point target detection in infrared images of the sky for which there are local variations of the gray level mean value.