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Communication Dans Un Congrès Année : 2023

Road Detection in a Forest Using Sentinel-1 and FBR Time-Series Speckle Filtering

Résumé

Temporal and spatial information is exploited in order to improve road detection performance in a forested area. Speckle is filtered using an FBR-based SAR time-series speckle filter, thus preserving temporal information. The additional spatial information is provided by the ascending and descending directions of acquisition of the satellite. Instead of a detection being made if the pixel value is lower than the threshold, we require the threshold to be met for every date in the time-series, and from both directions at once. This corresponds to both a temporal and spatial (generally East-West) stability requirements, and tends to reduce false positives as forest is not a stable environment. The technique was applied on a Sentinel-1 dataset over an area in northern Belize
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Dates et versions

hal-04424461 , version 1 (29-01-2024)

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Florent Michenot, Israel Hinostroza, Regis Guinvarc’h, Laetitia Thirion-Lefevre. Road Detection in a Forest Using Sentinel-1 and FBR Time-Series Speckle Filtering. IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Jul 2023, Pasadena, United States. pp.6561-6563, ⟨10.1109/IGARSS52108.2023.10281593⟩. ⟨hal-04424461⟩
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