Results 41 to 50 of about 4,082 (191)

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

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

Hyperspectral Image Classification With Context-Aware Dynamic Graph Convolutional Network

, 2021
In hyperspectral image (HSI) classification, spatial context has demonstrated its significance in achieving promising performance. However, conventional spatial context-based methods simply assume that spatially neighboring pixels should correspond to ...
Wan, Sheng, Yang, Jian, Gong, Chen, Pan, Shirui, Zhong, Ping, Li, Guangyu   +5 more
core   +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

Approaches for Hyperspectral Image Classification Detailed Review

, 2021
Hyperspectral Image (HSI) processing is the new advancement in image / signal processing field. The growth over the years is appreciable. The main reason behind the successful growth of the Hyperspectral imaging field is due to the enormous amount of ...
Beena R. Shetty, Prasantha H S, Kushalatha M R   +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

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

Dual Interactive Graph Convolutional Networks for Hyperspectral Image Classification

, 2021
Recently, graph convolutional network (GCN) has progressed significantly and gained increasing attention in hyperspectral image (HSI) classification due to its impressive representation power.
Wan, Sheng, Yang, Jian, Gong, Chen, Chang, Xiaojun, Pan, Shirui, Zhong, Ping   +5 more
core   +1 more source

Stochastic Depth Residual Network for Hyperspectral Image Classification

, 2021
The convolutional neural network (CNN) is a feedforward neural network with deep structure and convolution operation. In the hyperspectral image (HSI) classification, CNN has demonstrated excellent performance in extracting spectral and spatial ...
Gao, Z, Tong, L, Qian, B, Yu, J, Zhou, J, Xiao, C   +5 more
core   +1 more source