A survey: Deep learning for hyperspectral image classification with few labeled samples
Sign Up to like & getrecommendations! Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2021.03.035
Abstract: Abstract With the rapid development of deep learning technology and improvement in computing capability, deep learning has been widely used in the field of hyperspectral image (HSI) classification. In general, deep learning models often contain… read more here.
Keywords: labeled samples; hsi classification; learning; deep learning ... See more keywords
Convolutional Transformer Network for Hyperspectral Image Classification
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3169815
Abstract: Convolutional neural networks (CNNs) have attained remarkable performance in hyperspectral image (HSI) classification. However, the existing CNNs are restricted by their limited receptive field in HSI classification. Recently, transformer networks have proved to be promising… read more here.
Keywords: convolutional transformer; classification; hsi classification; transformer network ... See more keywords
AMFAN: Adaptive Multiscale Feature Attention Network for Hyperspectral Image Classification
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3193488
Abstract: Recently, convolutional neural networks (CNNs) have been widely used in hyperspectral image (HSI) classification with appreciable performance. However, the current CNN-based HSI classification methods have limitations in exploiting the multiscale features and extracting sufficiently discriminative… read more here.
Keywords: classification; hsi classification; multiscale feature; attention ... See more keywords
Cross-Domain Few-Shot Contrastive Learning for Hyperspectral Images Classification
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3227164
Abstract: Deep learning has achieved impressive results on hyperspectral image (HSI) classification, which generally requires sufficient training samples and a huge number of parameters. However, it is challenging to label HSIs, and likely only a few… read more here.
Keywords: cross domain; classification; hsi classification; shot contrastive ... See more keywords
Multiple Kernel Learning for Hyperspectral Image Classification: A Review
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2017.2729882
Abstract: With the rapid development of spectral imaging techniques, classification of hyperspectral images (HSIs) has attracted great attention in various applications such as land survey and resource monitoring in the field of remote sensing. A key… read more here.
Keywords: hsi classification; classification; multiple kernel; kernel learning ... See more keywords
Semisupervised Stacked Autoencoder With Cotraining for Hyperspectral Image Classification
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2018.2888485
Abstract: Recently, deep learning (DL) is of great interest in hyperspectral image (HSI) classification. Although many effective frameworks exist in the literature, the generally limited availability of training samples poses great challenges in applying DL to… read more here.
Keywords: hyperspectral image; classification; semisupervised stacked; hsi classification ... See more keywords
Automatic Design of Convolutional Neural Network for Hyperspectral Image Classification
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2019.2910603
Abstract: Hyperspectral image (HSI) classification is a core task in the remote sensing community, and recently, deep learning-based methods have shown their capability of accurate classification of HSIs. Among the deep learning-based methods, deep convolutional neural… read more here.
Keywords: hyperspectral image; classification; architecture; hsi classification ... See more keywords
Enhanced Multiscale Feature Fusion Network for HSI Classification
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2020.3046757
Abstract: Deep learning-based hyperspectral image (HSI) classification methods have recently attracted significant attention. However, features captured by convolutional neural network (CNN) are always partial due to the restrictions of the respective fields and the loss of… read more here.
Keywords: enhanced multiscale; classification; feature; hsi classification ... See more keywords
Spectral Partitioning Residual Network With Spatial Attention Mechanism for Hyperspectral Image Classification
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2021.3074196
Abstract: Hyperspectral image (HSI) classification is one of the most important tasks in hyperspectral data analysis. Convolutional neural networks (CNN) have been introduced to HSI classification and achieved good performance. In this article, an effective and… read more here.
Keywords: network; spectral partitioning; classification; hsi classification ... See more keywords
Hyperspectral Image Classification Using Group-Aware Hierarchical Transformer
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3207933
Abstract: Hyperspectral image (HSI) classification is a critical task with numerous applications in the field of remote sensing. Although convolutional neural networks have achieved remarkable success in computer vision, they are still limited in the ability… read more here.
Keywords: hierarchical transformer; group aware; classification; hsi classification ... See more keywords
Lightweighted Hyperspectral Image Classification Network by Progressive Bi-Quantization
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3237668
Abstract: Convolutional neural network (CNN) has shown its powerful ability for hyperspectral image (HSI) classification, which however, is difficult to deploy on resource-limited or low-latency platforms due to its parameter and computation redundancy. Though binary neural… read more here.
Keywords: network; classification; hsi classification; lightweighted hyperspectral ... See more keywords