Results 91 to 100 of about 13,575,612 (179)

Hyperspectral colon tissue cell classification [PDF]

, 2004
A novel algorithm to discriminate between normal and malignant tissue cells of the human colon is presented. The microscopic level images of human colon tissue cells were acquired using hyperspectral imaging technology at contiguous wavelength intervals ...
Rajpoot, Nasir M. (Nasir Mahmood), Turner, Martin J., Rajpoot, Kashif   +2 more
core  

Double-Branch Multi-Attention Mechanism Network for Hyperspectral Image Classification

, 2019
Recently, Hyperspectral Image (HSI) classification has gradually been getting attention from more and more researchers. HSI has abundant spectral and spatial information; thus, how to fuse these two types of information is still a problem worth studying.
Qifan Yang, Wei Zhao, Wenping Ma, Yue Wu, Xiangrong Zhang   +4 more
core   +1 more source

Wavelet based segmentation of hyperspectral colon tissue imagery [PDF]

, 2003
Segmentation is an early stage for the automated classification of tissue cells between normal and malignant types. We present an algorithm for unsupervised segmentation of images of hyperspectral human colon tissue cells into their constituent parts by ...
Rajpoot, Nasir M. (Nasir Mahmood), Rajpoot, Kashif   +1 more
core   +1 more source

A Novel Transformer Network with a CNN-Enhanced Cross-Attention Mechanism for Hyperspectral Image Classification

Remote Sensing
Recently, with the remarkable advancements of deep learning in the field of image processing, convolutional neural networks (CNNs) have garnered widespread attention from researchers in the domain of hyperspectral image (HSI) classification.
Xinyu Wang, Le Sun, Chuhan Lu, Baozhu Li
doaj   +1 more source

IGroupSS-Mamba: Interval Group Spatial–Spectral Mamba for Hyperspectral Image Classification [PDF]

IEEE Transactions on Geoscience and Remote Sensing
Hyperspectral image (HSI) classification has garnered substantial attention in remote sensing fields. Recent mamba architectures built upon the selective state-space models (S6) have demonstrated enormous potential in long-range sequence modeling ...
Yan He, Bing Tu, Pu-Zhao Jiang, Bo Liu, Jun Li, Antonio Plaza   +5 more
semanticscholar   +1 more source

AI‐Powered TAT‐Net Hyperspectral Imaging for Rapid and Accurate Differentiation of Sinonasal Inverted Papilloma and Malignancy

World Journal of Otorhinolaryngology - Head and Neck Surgery, Volume 12, Issue 5, Page 611-619, October 2026.
ABSTRACT Background Sinonasal inverted papilloma (IP) and malignancies share overlapping clinical and endoscopic features, and conventional histopathology frequently requires time‐consuming adjunct immunohistochemistry. Hyperspectral imaging (HSI) can capture subtle spectral changes associated with malignant transformation that are not apparent on ...
Hao‐Miao Zhao, Jia‐Chang Kong, Yun‐Ze Li, Wei Li, Xin Feng   +4 more
wiley   +1 more source

Spectral–Spatial HyperspectralImage Classification With K-Nearest Neighbor and Guided Filter

IEEE Access, 2018
Explosive growth of applications in hyperspectral image (HSI) has made HSI classification a hot topic in the remote sensing community. The key to improve classification accuracy is how to make full use of the spectral and spatial information.
Yanhui Guo, Han Cao, Siming Han, Yunchuan Sun, Yu Bai   +4 more
doaj   +1 more source

Hyperspectral Image Classification via Slice Sparse Coding Tensor Based Classifier With Compressive Dimensionality Reduction

IEEE Access, 2020
Tensor representation is the most natural and effective way to preserve the structural information of hyperspectral image (HSI), and thus is very beneficial to HSI processing.
Lixia Yang, Rui Zhang, Shuyuan Yang, Licheng Jiao   +3 more
doaj   +1 more source

New approaches on dimensionality reduction in hyperspectral images for classification purposes [PDF]

, 2012
This paper presents a quasi-unsupervised methodology to detect endmembers within an hyperspectral scene and to derive a pixel-wise classification on its basis.
Rupert Mueller, Reinartz, Peter, Daniele Cerra, Müller, Rupert, Jakub Bieniarz, Cerra, Daniele, Peter Reinartz, Bieniarz, Jakub   +7 more
core   +1 more source

Spatial–Spectral ConvNeXt for Hyperspectral Image Classification

, 2023
Hyperspectral image (HSI) classification is a difficult task due to the heterogeneous spatial–spectral information, high-dimensionality, and noise effect in the HSI.
Yimin Zhu, Linlin Xu, Kexin Yuan, Wenlong Zhong   +3 more
core   +1 more source