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Performance of Landsat TM in ship detection in turbid waters
Authors:Guofeng Wu  Jan de Leeuw  Andrew K Skidmore  Yaolin Liu  Herbert HT Prins
Institution:1. School of Resource and Environmental Science and Key Laboratory of Geographic Information System of the Ministry of Education, Wuhan University, No. 129 Luoyu Road, Wuhan 430079, PR China;2. Department of Natural Resources, International Institute for Geo-Information Science and Earth Observation, P.O. Box 6, Hengelosestraat 99, Enschede 7500 AA, The Netherlands;3. Resource Ecology Group, Department of Environmental Sciences, Wageningen University, Droevendaalsesteeg 3a, Wageningen 6708 PB, The Netherlands
Abstract:The visible and near infrared bands of Landsat have limitations for detecting ships in turbid water. The potential of TM middle infrared bands for ship detection has so far not been investigated. This study analyzed the performance of the six Landsat TM visible and infrared bands for detecting dredging ships in the turbid waters of the Poyang Lake, China. A colour composite of principal components analysis (PCA) components 3, 2 and 1 of a TM image was used to randomly select 81 dredging ships. The reflectance contrast between ships and adjacent water was calculated for each ship. A z-score and related p-value were used to assess the ship detection performance of the six Landsat TM bands. The reflectance contrast was related to water turbidity to analyze how water turbidity affected the capability of ship identification. The results revealed that the TM middle infrared bands 5 and 7 better discriminated vessels from surrounding waters than the visible and near infrared bands 1–4. A significant relation between reflectance contrast and water turbidity in bands 1–4 could explain the limitations of bands 1–4; while water turbidity has no a significant relation to the reflectance contrast of bands 5 and 7. This explains why bands 5 and 7 detect ships better than bands 1–4.
Keywords:Ship detection  Turbid water  Landsat  Middle infrared  Reflectance contrast
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