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
A Kernel-Based Extreme Learning Machine Framework for Classification of Hyperspectral Images Using Active Learning
Sign Up to like & getrecommendations! Published in 2019 at "Journal of the Indian Society of Remote Sensing"
DOI: 10.1007/s12524-019-01021-6
Abstract: The rapid development of advanced remote sensing technology with multichannel imaging sensors has increased its potential opportunity in the utilization of hyperspectral data for various applications. For supervised classification of hyperspectral data, obtaining suitable training… read more here.
Keywords: machine; classification; kernel based; classification hyperspectral ... See more keywords
Classification of hyperspectral and LIDAR data using extinction profiles with feature fusion
Sign Up to like & getrecommendations! Published in 2017 at "Remote Sensing Letters"
DOI: 10.1080/2150704x.2017.1335902
Abstract: ABSTRACT Hyperspectral images comprise hundreds of narrow contiguous wavelength bands which include wealth spectral information, and a great potential of Light detection and ranging (LIDAR) data lies in its benefits of height measurements, which can… read more here.
Keywords: hyperspectral lidar; lidar; classification hyperspectral; feature fusion ... See more keywords
Pixel-Wise Classification of Hyperspectral Images With 1D Convolutional SVM Networks
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3231579
Abstract: Nowadays, remote sensing image analysis is needed in various important tasks such as city planning, land-use classification, agriculture monitoring, military surveillance, and many other applications. In this context, hyperspectral images can play a useful role,… read more here.
Keywords: classification; pixel wise; wise classification; hyperspectral images ... See more keywords
Unsupervised Classification in Hyperspectral Imagery With Nonlocal Total Variation and Primal-Dual Hybrid Gradient Algorithm
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2017.2654486
Abstract: In this paper, a graph-based nonlocal total variation method is proposed for unsupervised classification of hyperspectral images (HSI). The variational problem is solved by the primal-dual hybrid gradient algorithm. By squaring the labeling function and… read more here.
Keywords: algorithm; nonlocal total; classification hyperspectral; unsupervised classification ... See more keywords
3-D Fourier Scattering Transform and Classification of Hyperspectral Images
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2020.3040203
Abstract: Recent developments in machine learning and signal processing have resulted in many new techniques that are able to effectively capture the intrinsic yet complex properties of hyperspectral imagery (HSI). Tasks ranging from anomaly detection to… read more here.
Keywords: transform classification; classification; classification hyperspectral; fourier scattering ... See more keywords
Multiple Information Collaborative Fusion Network for Joint Classification of Hyperspectral and LiDAR Data
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2024.3430373
Abstract: Joint classification of hyperspectral image (HSI) and light detection and ranging (LiDAR) can simultaneously utilize rich spectral information and elevation information and has become a hot research topic in remote sensing (RS). Although many works… read more here.
Keywords: information; classification hyperspectral; fusion; network ... See more keywords
TBi-Mamba: Rethinking Joint Classification of Hyperspectral and LiDAR Data With Bidirectional Mamba
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2025.3601734
Abstract: Multisource remote sensing image classification based on Mamba has received increasing attention. However, existing methods do not consider the noncausal characteristics of visual data, which leads to insufficient extraction of global features by the model.… read more here.
Keywords: classification; classification hyperspectral; tbi mamba; mamba ... See more keywords
Classification of hyperspectral images based on two-channel convolutional neural network combined with support vector machine algorithm
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Applied Remote Sensing"
DOI: 10.1117/1.jrs.14.024514
Abstract: Abstract. Our study uses artificial intelligence and machine learning methods for dimensionality reduction, feature extraction, and classification of hyperspectral remote sensing images to detect subtle differences between different spectra. Our study also used hyperspectral remote… read more here.
Keywords: classification hyperspectral; remote sensing; machine; two channel ... See more keywords
Classification of hyperspectral images for detection of hepatic carcinoma cells based on spectral–spatial features of nucleus
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Innovative Optical Health Sciences"
DOI: 10.1142/s1793545820500029
Abstract: A distinguishing characteristic of normal and cancer cells is the difference in their nuclear chromatin content and distribution. This difference can be revealed by the transmission spectra of nucl... read more here.
Keywords: detection hepatic; images detection; classification hyperspectral; carcinoma cells ... See more keywords