Classification of hyperspectral images by deep learning of spectral-spatial features
Sign Up to like & getrecommendations! Published in 2020 at "Arabian Journal of Geosciences"
DOI: 10.1007/s12517-020-05487-4
Abstract: Creating accurate land use and land cover maps using remote sensing images is one of the most important applications of remotely sensed data. Abundant spectral information in hyperspectral images (HSI) makes it possible to distinguish… read more here.
Keywords: feature; spectral spatial; classification hyperspectral; spatial features ... See more keywords
Sparse Representations for the Spectral–Spatial Classification of Hyperspectral Image
Sign Up to like & getrecommendations! Published in 2018 at "Journal of the Indian Society of Remote Sensing"
DOI: 10.1007/s12524-018-0908-6
Abstract: In this paper, we propose a new sparsity-based approach for the spectral–spatial classification of hyperspectral imagery. The proposed approach exploits the sparse representations of the spectral and spatial information contained in the data to generate… read more here.
Keywords: representations spectral; classification; spectral spatial; classification hyperspectral ... See more keywords
Spectral-spatial classification of hyperspectral imagery with cooperative game
Sign Up to like & getrecommendations! Published in 2018 at "Isprs Journal of Photogrammetry and Remote Sensing"
DOI: 10.1016/j.isprsjprs.2017.10.006
Abstract: Abstract Spectral-spatial classification is known to be an effective way to improve classification performance by integrating spectral information and spatial cues for hyperspectral imagery. In this paper, a game-theoretic spectral-spatial classification algorithm (GTA) using a… read more here.
Keywords: game; classification; spectral spatial; cooperative game ... See more keywords
Spectral Spatial Variation
Sign Up to like & getrecommendations! Published in 2019 at "Scientific Reports"
DOI: 10.1038/s41598-019-43971-4
Abstract: Automatic carcinoma detection from hyper/multi spectral images is of essential importance due to the fact that these images cannot be presented directly to the clinician. However, standard approaches for carcinoma detection use hundreds or even… read more here.
Keywords: spectral spatial; spatial variation; carcinoma detection;
Hyperspectral remote sensing image destriping via spectral-spatial factorization
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-94396-1
Abstract: Hyperspectral images (HSIs) are gradually playing an important role in many fields because of their ability to obtain spectral information. However, sensor response differences and other reasons may lead to the generation of stripe noise… read more here.
Keywords: information; via spectral; stripe noise; spectral spatial ... See more keywords
Multi-scale spectral-spatial dual-transformer network for hyperspectral image classification
Sign Up to like & getrecommendations! Published in 2023 at "International Journal of Remote Sensing"
DOI: 10.1080/01431161.2023.2203340
Abstract: ABSTRACT Deep learning methods have shown great advantages in hyperspectral image (HSI) classification tasks. In particular, convolutional neural network (CNN)-based methods for HSI classification have made great progress. However, it is difficult for CNN to… read more here.
Keywords: network; multi scale; classification; spectral spatial ... See more keywords
Bridging branches and attributes: spectral-spatial global-local interaction network for hyperspectral image classification
Sign Up to like & getrecommendations! Published in 2025 at "International Journal of Remote Sensing"
DOI: 10.1080/01431161.2025.2457130
Abstract: ABSTRACT The CNN-Transformer joint model stands as the leading architecture for contemporary hyperspectral image (HSI) classification, integrating global and local features through either successive or dual-branch CNN and Transformer networks. However, these methods often fall… read more here.
Keywords: hyperspectral image; global local; local interaction; spectral spatial ... See more keywords
A Novel Regularized Nonnegative Matrix Factorization for Spectral-Spatial Dimension Reduction of Hyperspectral Imagery
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2884501
Abstract: Dimension reduction (DR) is an essential preprocessing for hyperspectral image (HSI) classification. Recently, nonnegative matrix factorization (NMF) has been shown as an effective tool for the DR of hyperspectral data given the fact that it… read more here.
Keywords: dimension; spectral spatial; dimension reduction; nonnegative matrix ... See more keywords
SSDC-DenseNet: A Cost-Effective End-to-End Spectral-Spatial Dual-Channel Dense Network for Hyperspectral Image Classification
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2925283
Abstract: In recent years, various deep learning-based methods have been applied in hyperspectral image (HSI) classification. Among them, spectral-spatial approaches have demonstrated their power to yield high accuracies. However, these methods tend to be computationally expensive.… read more here.
Keywords: ssdc densenet; dual channel; spectral spatial; cost ... See more keywords
Spectral-Spatial Features Extraction of Hyperspectral Remote Sensing Oil Spill Imagery Based on Convolutional Neural Networks
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3194260
Abstract: Marine oil spills accidents has caused a large amount of crude oil to leak into the marine environment and threaten marine ecological environment. Hyperspectral remote sensing images (HRSI) technology can quickly and accurately identify oil… read more here.
Keywords: neural networks; oil; spectral spatial; convolutional neural ... See more keywords
Optical Switching in Future Fiber-Optic Networks Utilizing Spectral and Spatial Degrees of Freedom
Sign Up to like & getrecommendations! Published in 2022 at "Proceedings of the IEEE"
DOI: 10.1109/jproc.2022.3207576
Abstract: Forthcoming capacity scaling requirements of optical networks and advances in optical fiber communications beyond the omnipresent single-mode fiber operating over the conventional band introduces new opportunities and challenges for exploiting the expanded spectral and spatial… read more here.
Keywords: fiber optic; spatial degrees; spectral spatial; degrees freedom ... See more keywords