TY - GEN T1 - Deep Learning and Computer Vision in Remote Sensing-II A2 - Farahnakian, Fahimeh LA - eng PB - MDPI - Multidisciplinary Digital Publishing Institute YR - 2023 UL - https://ebooks.jgu.edu.in/Record/doab-20.500.12854-128789 AB - Computer Vision (CV) have seen a massive rise in popularity in the remote sensing field over the last few years. This success is mostly due to the effectiveness of deep learning (DL) algorithms. However, remote sensing data acquisition and annotation, as well as information extraction from massive remote sensing data, are still challenging. This reprint collected novel developments in the field of deep learning and computer vision methods for remote sensing. Papers dealing with fundamental theoretical analyses, as well as those demonstrating their application to real-world problems, have been published. With practical examples and real-world case studies, this reprint provides a valuable resource for researchers, professionals, and students seeking to harness the power of deep learning in the field of remote sensing. Here are some major topics that are addressed in this reprint: Satellite image processing and analysis based on deep learning; Deep learning for object detection, image classification, and semantic and instance segmentation; Deep learning for remote sensing scene understanding and classification; Transfer learning, deep reinforcement learning for remote sensing; Supervised and unsupervised representation learning for remote sensing environments. SN - 9783036593647 SN - 9783036593654 KW - pose estimation KW - landmark regression KW - space target KW - 1D landmark representation KW - deep learning KW - convolutional neural network (CNN) KW - deep supervision KW - lightweight model KW - remote sensing KW - semantic segmentation KW - convolutional neural networks (CNNs) KW - remote sensing images KW - object detection KW - knowledge inference module KW - convolutional neural networks KW - tree ensemble methods KW - multi-label classification KW - complex-valued U-Net KW - complex-valued capsule network KW - polarimetric synthetic aperture radar KW - unmanned aerial vehicle (UAV) KW - grassland grazing livestock KW - remote sensing image KW - artificial intelligence KW - building extraction KW - multi-scale object detection KW - multi-feature fusion and attention network KW - multi-branch convolution KW - attention mechanism KW - loss function KW - remote-sensing image KW - neural architecture search KW - sparse regularization KW - HRNet KW - Earth observation KW - land use and land cover classification KW - transfer learning KW - dynamic resolution adaptation KW - small-object detection KW - machine learning KW - data augmentation KW - automatic target recognition KW - synthetic aperture radar KW - spacecraft recognition KW - few-shot feature adaptation KW - generative family KW - neural processes KW - remote sensing imagery KW - transformer KW - Landsat KW - thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries KW - thema EDItEUR::U Computing and Information Technology::UY Computer science ER -