Deep Learning and Computer Vision in Remote Sensing-II

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 r...

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Bibliographic Details
Format:	eBook
Language:	English
Published:	Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
Subjects:	Computer science Information technology industries 1D landmark representation artificial intelligence attention mechanism automatic target recognition building extraction complex-valued capsule network complex-valued U-Net convolutional neural network (CNN) convolutional neural networks convolutional neural networks (CNNs) data augmentation deep learning deep supervision dynamic resolution adaptation Earth observation few-shot feature adaptation generative family grassland grazing livestock HRNet knowledge inference module land use and land cover classification landmark regression Landsat lightweight model loss function machine learning multi-branch convolution multi-feature fusion and attention network multi-label classification multi-scale object detection neural architecture search neural processes object detection polarimetric synthetic aperture radar pose estimation remote sensing remote sensing image remote sensing imagery remote sensing images remote-sensing image semantic segmentation small-object detection space target spacecraft recognition sparse regularization synthetic aperture radar transfer learning transformer tree ensemble methods unmanned aerial vehicle (UAV)
Online Access:	Open Access: DOAB: description of the publication Open Access: DOAB, download the publication

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Open Access: DOAB: description of the publication
Open Access: DOAB, download the publication

Deep Learning and Computer Vision in Remote Sensing-II

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