TY  - BOOK
AU  - Bazi, Yakoub||Pasolli, Edoardo
TI  - Advanced Deep Learning Strategies for the Analysis of Remote Sensing Images
SN  - 9783040000000
KW  - synthetic aperture radar||despeckling||multi-scale||LSTM||sub-pixel||high-resolution remote sensing imagery||road extraction||machine learning||DenseUNet||scene classification||lifting scheme||convolution||CNN||image classification||deep features||hand-crafted features||Sinkhorn loss||remote sensing||text image matching||triplet networks||EfficientNets||LSTM network||convolutional neural network||water identification||water index||semantic segmentation||high-resolution remote sensing image||pixel-wise classification||result correction||conditional random field (CRF)||satellite||object detection||neural networks||single-shot||deep learning||global convolution network||feature fusion||depthwise atrous convolution||high-resolution representations||ISPRS vaihingen||Landsat-8||faster region-based convolutional neural network (FRCNN)||single-shot multibox detector (SSD)||super-resolution||remote sensing imagery||edge enhancement||satellites||open-set domain adaptation||adversarial learning||min-max entropy||pareto ranking||SAR||Sentinel–1||Open Street Map||U–Net||desert||road||infrastructure||mapping||monitoring||deep convolutional networks||outline extraction||misalignments||nearest feature selector||hyperspectral image classification||two stream residual network||Batch Normalization||plant disease detection||precision agriculture||UAV multispectral images||orthophotos registration||3D information||orthophotos segmentation||wildfire detection||convolutional neural networks||densenet||generative adversarial networks||CycleGAN||data augmentation||pavement markings||visibility||framework||urban forests||OUDN algorithm||object-based||high spatial resolution remote sensing||Generative Adversarial Networks||post-disaster||building damage assessment||anomaly detection||Unmanned Aerial Vehicles (UAV)||xBD||feature engineering||orthophoto||unsupervised segmentation
UR  - https://mdpi.com/books/pdfview/book/3860
ER  -