2016
DOI: 10.5194/isprsarchives-xli-b8-1183-2016
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Large Oil Spill Classification Using Sar Images Based on Spatial Histogram

Abstract: Commission VIII, WG VIII/9KEY WORDS: Non-linear filter, Unsupervised Automatic Classification, Natural Hazards ABSTRACT:Among the different types of marine pollution, oil spill is a major threat to the sea ecosystems. Remote sensing is used in oil spill response. Synthetic Aperture Radar (SAR) is an active microwave sensor that operates under all weather conditions and provides information about the surface roughness and covers large areas at a high spatial resolution. SAR is widely used to identify and track … Show more

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“…Subsequently, an automatic detection algorithm using nonlinear spatial filters was proposed. This algorithm scans the region that appears darker than its surroundings (Schvartzman et al, 2016). Unlike previous studies that approached SAR images visually, images were analyzed based on various types of data in this study.…”
mentioning
confidence: 99%
“…Subsequently, an automatic detection algorithm using nonlinear spatial filters was proposed. This algorithm scans the region that appears darker than its surroundings (Schvartzman et al, 2016). Unlike previous studies that approached SAR images visually, images were analyzed based on various types of data in this study.…”
mentioning
confidence: 99%