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Hyperspectral Image and Classification Approaches
2021Recent developments in remote sensing technology and geographical data have directed the way for the advancement of hyperspectral sensors. Hyperspectral remote sensing (HRS), also known as imaging spectroscopy, is a comparatively new technology that is presently under investigation by researchers and scientists for its vast range of applications such ...
Linmi Tao, Atif Mughees
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Regularized methods for hyperspectral image classification
SPIE Proceedings, 2004In this paper, we analyze regularized non-linear methods in the context of hyperspectral image classification. For this purpose, we compare regularized radial basis function neural networks (Reg-RBFNN), standard support vector machines (SVM), and kernel Fisher discriminant (KFD) analysis both theoretically and experimentally.
G. Camps Valls, Bruzzone, Lorenzo
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Ghostnet for Hyperspectral Image Classification
IEEE Transactions on Geoscience and Remote Sensing, 2021Hyperspectral imaging (HSI) is a competitive remote sensing technique in several fields, from Earth observation to health, robotic vision, and quality control. Each HSI scene contains hundreds of (narrow) contiguous spectral bands. The amount of data generated by HSI devices is often both a solution and a problem for a given application.
Mercedes E. Paoletti +4 more
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Robust classification of hyperspectral images
SPIE Proceedings, 2007This paper discusses robust classification of hyperspectral images. Both methods for dimensionality reduction and robust estimation of classifier parameters in full dimension are presented. A new approach to dimensionality reduction that uses piecewise constant function approximation of the spectral curve is compared to conventional dimensionality ...
Anne Schistad Solberg Asbjørn Berg +1 more
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Hyperspectral Tongue Image Classification
2017The human tongue is an important organ of the body, which carries information of the health status. The images of the human tongue that are currently used in computerized tongue diagnosis of traditional Chinese medicine (TCM) are all RGB color images captured with color CCD cameras. However, this conversional method impedes the accurate analysis of the
David Zhang, Hongzhi Zhang, Bob Zhang
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Hyperspectral Image Classification With Background
IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019Background (BKG) is an integral part of an image and has significant effect and impact on hyperspectral image classification (HSIC). Unfortunately, how to address the BKG issue has not received much attention over the past years. This paper investigates this issue by developing a mixed pixel classifier, iterative constrained energy minimization (ICEM ...
Xiaodi Shang, Meiping Song, Chunyan Yu
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Hyperspectral image classification: A benchmark
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2017Hyperspectral image classification, an astonishing tool to distinguish the land covers in remote sensed hyperspectral images, has been investigated by multiple disciplines such as geoscience, environmental science, mathematics, and computer vision.
Xudong Kang +2 more
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Hierarchical classification systems for hyperspectral image classification
2007 IEEE International Geoscience and Remote Sensing Symposium, 2007In this study, we proposed some alternatives for building a binary hierarchical classification (BHC) systems. Two criteria for building the hierarchical tree under the idea of max-cut are addressed and two additional classification architectures based on the constructed trees are also proposed.
null Bor-Chen Kuo +3 more
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Hyperspectral Image Classification with Kernels
2007The information contained in hyperspectral images allows the characterization, identification, and classification of land covers with improved accuracy and robustness. However, several critical problems should be considered in the classification of hyperspectral images, among which are (a) the high number of spectral channels, (b) the spatial ...
Bruzzone, Lorenzo +3 more
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Kernel-based methods for hyperspectral image classification
IEEE Transactions on Geoscience and Remote Sensing, 2005This paper presents the framework of kernel-based methods in the context of hyperspectral image classification, illustrating from a general viewpoint the main characteristics of different kernel-based approaches and analyzing their properties in the hyperspectral domain.
G. Camps valls, Bruzzone, Lorenzo
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