Results 41 to 50 of about 6,341 (223)

In vivo evaluation of a hyperspectral imaging system for minimally invasive surgery (HSI-MIS)

Surgical Endoscopy, 2023
Abstract Background Hyperspectral Imaging (HSI) is a reliable and safe imaging method for taking intraoperative perfusion measurements. This is the first study translating intraoperative HSI to an in vivo laparoscopic setting using a CE-certified HSI-system for minimally invasive surgery (HSI-MIS).
Madeleine T. Thomaßen, Hannes Köhler, Annekatrin Pfahl, Sigmar Stelzner, Matthias Mehdorn, René Thieme, Boris Jansen-Winkeln, Ines Gockel, Claire Chalopin, Yusef Moulla   +9 more
openaire   +2 more sources

WHU-OHS: A benchmark dataset for large-scale Hersepctral Image classification

International Journal of Applied Earth Observations and Geoinformation, 2022
Hyperspectral image (HSI) classification is one of the most important remote sensing techniques. Currently, the performances of most of the HSI classification networks on the public HSI datasets are overoptimistic (i.e., the overall accuracy exceeds 98 %)
Jiayi Li, Xin Huang, Lilin Tu
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

Novel folded-PCA for improved feature extraction and data reduction with hyperspectral imaging and SAR in remote sensing

, 2014
As a widely used approach for feature extraction and data reduction, Principal Components Analysis (PCA) suffers from high computational cost, large memory requirement and low efficacy in dealing with large dimensional datasets such as Hyperspectral ...
Han, Junwei, Zabalza, Jaime, Yang, Mingqiang, Zhang, Yi, Ren, Jinchang, Marshall, Stephen, Wang, Jun   +6 more
core   +1 more source

Hyperspectral Denoising Using Asymmetric Noise Modeling Deep Image Prior

, 2023
Deep image prior (DIP) is a powerful technique for image restoration that leverages an untrained network as a handcrafted prior. DIP can also be used for hyperspectral image (HSI) denoising tasks and has achieved impressive performance.
Xiangyong Cao, Teng-Yu Ji, Shuang Xu, Qiao Ke, Yifan Wang, Xiangxiang Zhu   +5 more
core   +1 more source

SpaSSA: superpixelwise adaptive SSA for unsupervised spatial-spectral feature extraction in hyperspectral image. [PDF]

, 2022
Singular spectral analysis (SSA) has recently been successfully applied to feature extraction in hyperspectral image (HSI), including conventional (1-D) SSA in spectral domain and 2-D SSA in spatial domain.
Fu, Hang, Zhao, Huimin, Sun, Genyun, Zabalza, Jaime, Jia, Xiuping, Ren, Jinchang, Zhang, Aizhu   +6 more
core   +1 more source

SBHSR: single-band super-resolution method for hyperspectral images based on blind degradation and fusion of auxiliary band

Geocarto International
Despite natural image super-resolution (SR) methods have achieved great success, super-resolution methods for hyperspectral image (HSI) with rich spectral features are still a very challenging task.
Lijing Bu, Xi Xiao, Zhengpeng Zhang, Deng Mingjun   +3 more
doaj   +1 more source

Fusing Hyperspectral and Multispectral Images via Low-Rank Hankel Tensor Representation

Remote Sensing, 2022
Hyperspectral images (HSIs) have high spectral resolution and low spatial resolution. HSI super-resolution (SR) can enhance the spatial information of the scene.
Siyu Guo, Xi’ai Chen, Huidi Jia, Zhi Han, Zhigang Duan, Yandong Tang   +5 more
doaj   +1 more source

Hyperspectral imaging (hsi): applications in animal and dairy sector

Journal of Experimental Biology and Agricultural Sciences, 2016
Hyperspectral imaging (HSI), also known as imaging spectroscopy or 3D spectroscopy, combines imaging and spectroscopy into a single system. With a high resolution measurement of spectral signatures, HSI is able to provide critical information of the target.
Abhinav Kumar, Sonal Saxena, Sameer Shrivastava, Vandana Bharti, Upendra Kumar, Kuldeep Dhama   +5 more
openaire   +1 more source

Improved sparse representation using adaptive spatial support for effective target detection in hyperspectral imagery

, 2013
With increasing applications of hyperspectral imagery (HSI) in agriculture, mineralogy, military, and other fields, one of the fundamental tasks is accurate detection of the target of interest.
Li, Xiaohui, Ren, Jinchang, Marshall, Stephen, Zhao, Chunhui   +3 more
core   +1 more source