Results 101 to 110 of about 13,575,612 (179)

DCFF-Net: Deep Context Feature Fusion Network for High-Precision Classification of Hyperspectral Image

Remote Sensing
Hyperspectral images (HSI) contain abundant spectral information. Efficient extraction and utilization of this information for image classification remain prominent research topics.
Zhijie Chen, Yu Chen, Yuan Wang, Xiaoyan Wang, Xinsheng Wang, Zhouru Xiang   +5 more
doaj   +1 more source

Hyperspectral imaging (HSI) for intraoperative tumor cell classification [PDF]

Laryngo-Rhino-Otologie, 2019
R Beck, H Köhler, F Goltz, A Dietz, C Chalopin, I Gockel   +5 more
openaire   +1 more source

Seeing the unseen: hyperspectral imaging opens a new window into the root economics space

New Phytologist, Volume 252, Issue 5, Page 1695-1699, December 2026.
Boris Rewald
wiley   +1 more source

Self- and Cross-Attention Enhanced Transformer for Visible and Thermal Infrared Hyperspectral Image Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Visible hyperspectral image (V-HSI) and thermal infrared hyperspectral image (TI-HSI) have been crucial data sources for land cover classification. V-HSI can directly provide information of land surface, such as shape, color, texture, and other features.
Enyu Zhao, Yongfang Su, Nianxin Qu, Yulei Wang, Caixia Gao, Jian Zeng   +5 more
doaj   +1 more source

CALA-HSI: content-adaptive local attention for spectral-spatial hyperspectral image classification

Measurement Science and Technology
Abstract Hyperspectral image (HSI) classification remains challenging because spectral bands are highly redundant, labeled samples are often scarce, and land-cover patterns can vary substantially across heterogeneous scenes. To address these challenges, this study proposes content-adaptive local attention for HSI classification (CALA ...
openaire   +1 more source

Joint Alternate Small Convolution and Feature Reuse for Hyperspectral Image Classification

ISPRS International Journal of Geo-Information, 2018
A hyperspectral image (HSI) contains fine and rich spectral information and spatial information of ground objects, which has great potential in applications.
Hongmin Gao, Yao Yang, Chenming Li, Hui Zhou, Xiaoyu Qu   +4 more
doaj   +1 more source

Structure Extraction With Total Variation for Hyperspectral Image Classification

IEEE Access, 2019
This paper proposes a novel structure extraction approach that is able to achieve high classification accuracy and low computing burden to hyperspectral image (HSI) classification based on total variation (SETV).
Qiaoqiao Li, Haibo Wang, Guoyue Chen, Kazuki Saruta, Yuki Terata   +4 more
doaj   +1 more source

WaveMamba: Spatial-Spectral Wavelet Mamba for Hyperspectral Image Classification [PDF]

IEEE Geoscience and Remote Sensing Letters
Hyperspectral imaging (HSI) has proven to be a powerful tool for capturing detailed spectral and spatial information across diverse applications.
Muhammad Ahmad, Muhammad Usama, Manuel Mazzara, Salvatore Distefano   +3 more
semanticscholar   +1 more source

Improving Hyperspectral Image Classification with Compact Multi-Branch Deep Learning

Remote Sensing
The progress in hyperspectral image (HSI) classification owes much to the integration of various deep learning techniques. However, the inherent 3D cube structure of HSIs presents a unique challenge, necessitating an innovative approach for the efficient
Md. Rashedul Islam, Md. Touhid Islam, Md Palash Uddin, Anwaar Ulhaq   +3 more
doaj   +1 more source

An Experimental Study for the Effects of Noise on Hyperspectral Imagery Classification

Image Analysis and Stereology
Hyperspectral image (HSI) classification is a very important topic in remote sensing. There are many published methods for HSI classification in the literature. Nevertheless, it is not clear which method is the most robust to noise in HSI data cubes. In
Guangyi Chen, Adam Krzyzak, Shen-en Qian
doaj   +1 more source