Image and Signal Processing for Remote Sensing XXVII

The proceedings contain 33 papers. The topics discussed include: stereo matching of remote sensing images using deep stereo matching; object detection with noisy annotations in high-resolution remote sensing images using robust EfficientDet; few shot object detection in remote sensing images; fire segmentation using a squeezesegv2; deep-learning-based remote sensing video super-resolution for Jilin-1 satellite; useable machine learning for Sentinel-2 multispectral satellite imagery; self-supervised multi-task learning for semantic segmentation of urban scenes; impact of different compression rates for hyperspectral data compression based on a convolutional autoencoder; and hyperspectral image classification using spectral-spatial hypergraph convolution neural network.