Results 31 to 40 of about 12,913,193 (172)

Customizing kernel functions for SVM-based hyperspectral image classification [PDF]

, 2008
Previous research applying kernel methods such as support vector machines (SVMs) to hyperspectral image classification has achieved performance competitive with the best available algorithms.
Damper, R. I., Guo, B., Steve R. Gunn, Gunn, S. R., R. I. Damper, Baofeng Guo, Nelson, J. D. B., James D. B. Nelson   +7 more
core   +2 more sources

A Lightweight 1-D Convolution Augmented Transformer with Metric Learning for Hyperspectral Image Classification

Sensors, 2021
Hyperspectral image (HSI) classification is the subject of intense research in remote sensing. The tremendous success of deep learning in computer vision has recently sparked the interest in applying deep learning in hyperspectral image classification ...
Xiang Hu, Wenjing Yang, Hao Wen, Yu Liu, Yuanxi Peng   +4 more
doaj   +1 more source

Cross-Scene Deep Transfer Learning With Spectral Feature Adaptation for Hyperspectral Image Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020
The small size of labeled samples has always been one of the great challenges in hyperspectral image (HSI) classification. Recently, cross-scene transfer learning has been developed to solve this problem by utilizing auxiliary samples of a relevant scene.
Chongxiao Zhong, Junping Zhang, Sifan Wu, Ye Zhang   +3 more
doaj   +1 more source

Adversarial Representation Learning for Hyperspectral Image Classification with Small-Sized Labeled Set

Remote Sensing, 2022
Hyperspectral image (HSI) classification is one of the main research contents of hyperspectral technology. Existing HSI classification algorithms that are based on deep learning use a large number of labeled samples to train models to ensure excellent ...
Shuhan Zhang, Xiaohua Zhang, Tianrui Li, Hongyun Meng, Xianghai Cao, Li Wang   +5 more
doaj   +1 more source

Illumination invariance and shadow compensation on hyperspectral images [PDF]

, 2014
To obtain intrinsic reflectance of the scene by hyperspectral imaging systems has been a scientific and engineering challenge. Factors such as illumination variations, atmospheric effects and viewing geometries are common artefacts which modulate the way
Ibrahim, Izzati
core   +7 more sources

Hyperspectral Image Classification with Multi-Scale Feature Extraction

Remote Sensing, 2019
Spectral features cannot effectively reflect the differences among the ground objects and distinguish their boundaries in hyperspectral image (HSI) classification.
Bing Tu, Nanying Li, Leyuan Fang, Danbing He, Pedram Ghamisi   +4 more
doaj   +1 more source

Feature Extraction Based Multi-Structure Manifold Embedding for Hyperspectral Remote Sensing Image Classification

IEEE Access, 2017
Hyperspectral remote sensing image is a typical high-dimensional data with a large number of redundant information, which will impact the classification accuracy.
Yuhang Gan, Fulin Luo, Juhua Liu, Bing Lei, Tao Zhang, Ke Liu   +5 more
doaj   +1 more source

Classification of hyperspectral images via improved cycle‐MLP

IET Computer Vision, 2022
Pixel‐wise classification of hyperspectral image (HSI) is a hot spot in the field of remote sensing. The classification of HSI requires the model to be more sensitive to dense features, which is quite different from the modelling requirements of ...
Na Gong, Chunlei Zhang, Heng Zhou, Kai Zhang, Zhongyuan Wu, Xin Zhang   +5 more
doaj   +1 more source

Mapping Coastal Wetlands Using Transformer in Transformer Deep Network on China ZY1-02D Hyperspectral Satellite Images

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
Coastal wetlands mapping is a big challenge in remote sensing fields because of similar spectrum of different ground objects and their severe fragmentation and spatial heterogeneity.
Kai Liu, Weiwei Sun, Yijun Shao, Weiwei Liu, Gang Yang, Xiangchao Meng, Jiangtao Peng, Dehua Mao, Kai Ren   +8 more
doaj   +1 more source

Land use/land cover (LULC) classification using hyperspectral images: a review

Geo-spatial Information Science
In the rapidly evolving realm of remote sensing technology, the classification of Hyperspectral Images (HSIs) is a pivotal yet formidable task. Hindered by inherent limitations in hyperspectral imaging, enhancing the accuracy and efficiency of HSI ...
Chen Lou, Mohammed A. A. Al-qaness, Dalal AL-Alimi, Abdelghani Dahou, Mohamed Abd Elaziz, Laith Abualigah, Ahmed A. Ewees   +6 more
doaj   +1 more source