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Abstract Deep learning, referring to artificial neural networks with multiple layers, is widely used for classification tasks in many disciplines including computer vision. The most popular type is the Convolutional Neural Network (CNN), commonly applied to 2D image data. However, CNNs are...
Abstract The aim of this study is to develop a method for delineating built-up areas based on remote sensing data. The proposed method evaluated 13 spectral indices (SIs) commonly used in assessing land use and land cover (LULC) and selected meaningful indices through a principle component...
Abstract In satellite image analysis, detection of shadow plays a critical role in the precise object detection applications. The size and intensity of shadow vary with solar illumination angle and miscellaneous building attributes, which may lead to their misclassification. Hence, there is a...
Abstract Remote sensing data and techniques are being utilized for various purposes including natural disasters such as earthquake as well as flood mapping and detection. The research aims to consume liberates Landsat 8 images for investigating crashed airplanes such as MH370. Overall...
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