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- W2022841949 abstract "A built-up areas saliency index (BASI) to extract built-up areas is proposed in this article. The proposed method is designed to be especially effective for dealing with high-resolution remote sensing images and complex scenes. Due to the complexity of built-up areas in high-resolution images, visual attention model based on textural feature is applied for the calculation of BASI. To highlight built-up areas in complex scenes, we present an improved signal processing method to describe the textural feature of built-up areas, which is used as the low-layer feature of the visual attention model. Comparison studies and experimental results demonstrate the accuracy and robustness of BASI for discrimination between built-up and non-built-up areas from satellite and aerial high-resolution remote sensing data." @default.
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- W2022841949 date "2014-03-27" @default.
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- W2022841949 title "BASI: a new index to extract built-up areas from high-resolution remote sensing images by visual attention model" @default.
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- W2022841949 doi "https://doi.org/10.1080/2150704x.2014.889861" @default.
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