Remote Sensing Image Classification and Semantic Segmentation

With the rapid growth in remote sensing imaging technology, vast amounts of remote sensing data are generated, which is significant for land-monitoring systems, and agriculture, etc., for Earth, Mars, etc. In recent decades, deep learning techniques have had a significant effect on remote sensing da...

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Bibliographic Details
Format:	Online
Language:	English
Published:	MDPI - Multidisciplinary Digital Publishing Institute 2024
Subjects:	Mars terrain segmentation semantic segmentation planetary exploration transformer channel attention module hybrid structure 3D convolutional neural network noisy hyperspectral image Tucker tensor decomposition spectral–spatial feature extraction high-resolution remote sensing self-attention context modeling feature alignment remote sensing adapter active–passive remote sensing canopy height model (CHM) classification random forest (RF) spectral reconstruction convolutional transformer hyperspectral unmixing multi-head self-attention hyperspectral image context information convolutional neural network attention module model compression neural network pruning frequency domain lightweight deep neural networks remote sensing image classification deep space exploration planetary rover rock segmentation double-branch sea–land segmentation GF-6 CNN global context information fine-grained feature feature fusion polarimetric synthetic aperture radar (PolSAR) image classification complex-valued convolutional neural network complex-valued max pooling complex-valued nonlinear activation complex-valued cross-entropy meta-learning cross-domain segmentation few-shot semantic segmentation satellite imagery scene segmentation deep generative models mine waste rock leaching waste dumps physical stability closure planning semantic segmentation in foggy scenes unsupervised domain adaptation UDA self-training label correction self-distillation contrastive learning sample rebalancing hyperspectral LiDAR fusion classification remote sensing scene classification few-shot learning data augmentation feature distortion segment anything model (SAM) semantic road scene segmentation image semantic segmentation instruction set architecture (ISA) field programmable gate array (FPGA) spacecraft component images land cover classification SAR and optical images attention mechanism multi-scale feature fusion high-resolution remote sensing images ASPP module local attention network model activation function point cloud semantic segmentation multi-spatial feature encoding multi-head attention pooling cloud shadow segmentation convolution neural network deep learning polarimetric synthetic aperture radar (PolSAR) reflection symmetric decomposition (RSD) data input scheme land classification polarimetric scattering characteristics thema EDItEUR::U Computing and Information Technology thema EDItEUR::U Computing and Information Technology::UY Computer science
Online Access:	ONIX_20240906_9783725813650_116
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Remote Sensing Image Classification and Semantic Segmentation

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