Results 31 to 40 of about 13,575,612 (179)

Cross-Domain Hyperspectral Image Classification Based on Bi-Directional Domain Adaptation [PDF]

IEEE transactions on circuits and systems for video technology (Print)
Utilizing hyperspectral remote sensing technology enables the extraction of fine-grained land cover classes. Typically, satellite or airborne images used for training and testing are acquired from different regions or times, where the same class has ...
Yu-Xiang Zhang, Wei Li, Wen Jia, Meng-Meng Zhang, Ran Tao, Shun-Lin Liang   +5 more
semanticscholar   +1 more source

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

Effective feature extraction and data reduction with hyperspectral imaging in remote sensing [PDF]

, 2014
Although PCA has been widely used for feature extraction and data reduction, it suffers from three main drawbacks: high computational cost, large memory requirement and low efficacy in processing large datasets such as HSI.
Zabalza, Jaime, Ren, Jinchang, Marshall, Stephen, Zheng, Jiangbin   +3 more
core   +4 more sources

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

A synergistic CNN-transformer network with pooling attention fusion for hyperspectral image classification [PDF]

Digit. Signal Process.
In the hyperspectral image (HSI) classification task, each pixel is categorized into a specific land-cover category or material. Convolutional neural networks (CNNs) and transformers have been widely used to extract local and non-local features in HSI ...
Peng Chen, Wenxuan He, Feng Qian, Guang-Yao Shi, Jing-Wen Yan   +4 more
semanticscholar   +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

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

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

Fractal-Based Ensemble Classification System for Hyperspectral Images [PDF]

, 2023
According to the literature, the utilization of spatial features can significantly enhance the accuracy of hyperspectral image (HSI) classification. Fractal features are powerful measures of texture, representing the local complexity of an image.
Beirami, Behnam Asghari, Akbari, Vahid, Pirbasti, Mehran A   +2 more
core   +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