TY  - GEN
T1  - Remote Sensing Image Classification and Semantic Segmentation
A2  - Li, Jiaojiao
LA  - eng
PB  - MDPI - Multidisciplinary Digital Publishing Institute
YR  - 2024
UL  - https://ebooks.jgu.edu.in/Record/doab-20.500.12854-143754
AB  - 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 data processing, especially in image classification and semantic segmentation. However, several challenges still exist due to the limited annotations, the complexity of large-scale areas, and other specific problems, which make it more difficult in real-world applications. Therefore, novel deep neural networks combined with meta-learning, attention mechanisms, or other new transformer technologies need to be given more attention in remote sensing. It is also necessary to develop lightweight, explainable, and robust networks. Moreover, this Special Issue aims to develop state-of-the-art deep networks for more accurate remote sensing image classification and semantic segmentation, which also aims to achieve an efficient cross-domain performance through a lightweight network design.
SN  - 9783725813650
SN  - 9783725813667
KW  - Mars terrain segmentation
KW  - semantic segmentation
KW  - planetary exploration
KW  - transformer
KW  - channel attention module
KW  - hybrid structure
KW  - 3D convolutional neural network
KW  - noisy hyperspectral image
KW  - Tucker tensor decomposition
KW  - spectral–spatial feature extraction
KW  - high-resolution remote sensing
KW  - self-attention
KW  - context modeling
KW  - feature alignment
KW  - remote sensing
KW  - adapter
KW  - active–passive remote sensing
KW  - canopy height model (CHM)
KW  - classification
KW  - random forest (RF)
KW  - spectral reconstruction
KW  - convolutional transformer
KW  - hyperspectral unmixing
KW  - multi-head self-attention
KW  - hyperspectral image
KW  - context information
KW  - convolutional neural network
KW  - attention module
KW  - model compression
KW  - neural network pruning
KW  - frequency domain
KW  - lightweight deep neural networks
KW  - remote sensing image classification
KW  - deep space exploration
KW  - planetary rover
KW  - rock segmentation
KW  - double-branch
KW  - sea–land segmentation
KW  - GF-6
KW  - CNN
KW  - global context information
KW  - fine-grained feature
KW  - feature fusion
KW  - polarimetric synthetic aperture radar (PolSAR) image classification
KW  - complex-valued convolutional neural network
KW  - complex-valued max pooling
KW  - complex-valued nonlinear activation
KW  - complex-valued cross-entropy
KW  - meta-learning
KW  - cross-domain segmentation
KW  - few-shot semantic segmentation
KW  - satellite imagery
KW  - scene segmentation
KW  - deep generative models
KW  - mine waste rock
KW  - leaching waste dumps
KW  - physical stability
KW  - closure planning
KW  - semantic segmentation in foggy scenes
KW  - unsupervised domain adaptation
KW  - UDA
KW  - self-training
KW  - label correction
KW  - self-distillation contrastive learning
KW  - sample rebalancing
KW  - hyperspectral
KW  - LiDAR
KW  - fusion classification
KW  - remote sensing scene classification
KW  - few-shot learning
KW  - data augmentation
KW  - feature distortion
KW  - segment anything model (SAM)
KW  - semantic road scene segmentation
KW  - image semantic segmentation
KW  - instruction set architecture (ISA)
KW  - field programmable gate array (FPGA)
KW  - spacecraft component images
KW  - land cover classification
KW  - SAR and optical images
KW  - attention mechanism
KW  - multi-scale feature fusion
KW  - high-resolution remote sensing images
KW  - ASPP module
KW  - local attention network model
KW  - activation function
KW  - point cloud semantic segmentation
KW  - multi-spatial feature encoding
KW  - multi-head attention pooling
KW  - cloud shadow segmentation
KW  - convolution neural network
KW  - deep learning
KW  - polarimetric synthetic aperture radar (PolSAR)
KW  - reflection symmetric decomposition (RSD)
KW  - data input scheme
KW  - land classification
KW  - polarimetric scattering characteristics
KW  - thema EDItEUR::U Computing and Information Technology
KW  - thema EDItEUR::U Computing and Information Technology::UY Computer science
ER  -