Overview A mix of beginner and advanced-level books to suit various learning needs.Each book blends theory with practical ...

Deep learning approaches, particularly convolutional neural networks (CNNs) and other architectures, were used in 49 papers. These models excel at image-based tasks such as land cover classification, ...

Abstract: With the swift advancement of deep learning, significant strides have been made in polarimetric synthetic aperture radar (PolSAR) image classification, particularly with the advent of ...

Abstract: Multilabel remote sensing image classification (MLRSIC) can provide comprehensive object-level semantic descriptions of remote sensing images. However, most existing methods struggle to ...