Results 41 to 50 of about 13,575,612 (179)

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

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

Semi-Supervised Classification for Hyperspectral Images Based on Multiple Classifiers and Relaxation Strategy

ISPRS International Journal of Geo-Information, 2018
Hyperspectral image (HSI) classification is a fundamental and challenging problem in remote sensing and its various applications. However, it is difficult to perfectly classify remotely sensed hyperspectral data by directly using classification ...
Fuding Xie, Dongcui Hu, Fangfei Li, Jun Yang, Deshan Liu   +4 more
doaj   +1 more source

Spectral Segmentation Multi-Scale Feature Extraction Residual Networks for Hyperspectral Image Classification

Remote Sensing, 2023
Hyperspectral image (HSI) classification is a vital task in hyperspectral image processing and applications. Convolutional neural networks (CNN) are becoming an effective approach for categorizing hyperspectral remote sensing images as deep learning ...
Jiamei Wang, Jiansi Ren, Yinbin Peng, Meilin Shi   +3 more
doaj   +1 more source

mHC-HSI: Clustering-Guided Hyper-Connection Mamba for Hyperspectral Image Classification

CoRR
Recently, DeepSeek has invented the manifold-constrained hyper-connection (mHC) approach which has demonstrated significant improvements over the traditional residual connection in deep learning models \cite{xie2026mhc}. Nevertheless, this approach has not been tailor-designed for improving hyperspectral image (HSI) classification.
Yimin Zhu 0002, Zack Dewis, Quinn Ledingham, Saeid Taleghanidoozdoozan, Mabel Heffring, Zhengsen Xu, Motasem Alkayid, Megan Greenwood, Lincoln Linlin Xu   +8 more
openaire   +3 more sources

Mycotoxin management in the cereal supply chain: Advanced detection, detoxification, and smart packaging strategies

Journal of the Science of Food and Agriculture, EarlyView.
Abstract Mycotoxins remain a persistent threat to the safety and quality of cereal grains and other agricultural products, and their impact on human health continues to raise global concerns. In many situations, the practices traditionally used to control these toxins are no longer sufficiently effective. They can be costly, difficult to implement on a
Abolfazl Asqardokht‐Aliabadi, Dipendra Kumar Mahato, Jafar Mohammadzadeh Milani   +2 more
wiley   +1 more source

Hyperspectral image classification on insufficient-sample and feature learning using deep neural networks: A review

International Journal of Applied Earth Observations and Geoinformation, 2021
Over the years, advances in sensor technologies have enhanced spatial, temporal, spectral, and radiometric resolutions, thus significantly improving the size, resolution, and quality of imagery.
Naftaly Wambugu, Yiping Chen, Zhenlong Xiao, Kun Tan, Mingqiang Wei, Xiaoxue Liu, Jonathan Li   +6 more
doaj   +1 more source

AI‐Powered GPR Characterization of Peatland Underground Cavity Induced by Smoldering Wildfire: A Laboratory Proof‐of‐Concept

Safety Science and Technology, EarlyView.
We present an AI‐assisted ground‐penetrating radar framework to noninvasively detect and quantify smoldering wildfire‐induced subsurface cavities in peatlands. A ResNet model accurately predicts cavity geometry from GPR images, enabling improved assessment of underground fire damage and hazards.
Zifan Zhang, Zilong Wang, Yichao Zhang, Yanghan Su, Shaorun Lin, Xinyan Huang   +5 more
wiley   +1 more source

Spectral Swin Transformer Network for Hyperspectral Image Classification

Remote Sensing, 2023
Hyperspectral images are complex images that contain more spectral dimension information than ordinary images. An increasing number of HSI classification methods are using deep learning techniques to process three-dimensional data. The Vision Transformer
Baisen Liu, Yuanjia Liu, Wulin Zhang, Yiran Tian, Weili Kong   +4 more
doaj   +1 more source

Hyperspectral and Multispectral Image Fusion via Deep Generalised Linear Mixed Model

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Hyperspectral–multispectral image fusion is an incomplete information fusion problem, and directly embedding information can lead to modality‐specific responses and cause spectral distortion, whereas the strong interband redundancy of hyperspectral images makes full‐dimensional fusion inefficient.
Jiaming Wang, Ziyue Yang, Yu Wang, Xiujuan Lang, Tao Lu, Qingwei Zhuang   +5 more
wiley   +1 more source