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A line segment detector for SAR images with controlled false alarm rate

Abstract : In this paper we propose to adapt LSD [1] (a state-of-the-art line segment detector for optical images) to SAR images. The first modification is replacing the gradient computation with an exponentially weighted ratio-based method which has a constant false alarm rate for SAR images. Next, we observe that the strong noise removal necessary for processing SAR images strongly impairs the independent hypothesis of the a contrario model used by LSD. A first order Markov chain is used to take the spatial dependencies into consideration. Experiments show that the proposed method has good perfor- mances and the number of false detections is well controlled.
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Conference papers
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https://hal-imt.archives-ouvertes.fr/hal-01860265
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Submitted on : Thursday, August 23, 2018 - 10:56:27 AM
Last modification on : Wednesday, September 30, 2020 - 8:54:14 AM

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  • HAL Id : hal-01860265, version 1

Citation

Chenguang Liu, Rémy Abergel, Yann Gousseau, Florence Tupin. A line segment detector for SAR images with controlled false alarm rate. IGARSS, Jul 2018, Valencia, Spain. ⟨hal-01860265⟩

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