Results 61 to 70 of about 2,924,189 (218)

Compression and Noise Reduction of Hyperspectral Images using Tucker Decomposition and Discerete Wavelet Transform

, 2012
International audienceThe compression of hyperspectral images (HSIs) becomes recently very attractive issue for remote sensing applications because of their volumetric data. In this paper, an efficient method for joint hyperspectral image compression and
Karami Robati, Azam, Yazdi, Mehran, Mercier, Grégoire   +2 more
core   +1 more source

An Efficient Representation-Based Subspace Clustering Framework for Polarized Hyperspectral Images

Remote Sensing, 2019
Recently, representation-based subspace clustering algorithms for hyperspectral images (HSIs) have been developed with the assumption that pixels belonging to the same land-cover class lie in the same subspace. Polarization is regarded to be a complement
Zhengyi Chen, Chunmin Zhang, Tingkui Mu, Tingyu Yan, Zeyu Chen, Yanqiang Wang   +5 more
doaj   +1 more source

HYPERSPECTRAL IMAGE KERNEL SPARSE SUBSPACE CLUSTERING WITH SPATIAL MAX POOLING OPERATION [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016
In this paper, we present a kernel sparse subspace clustering with spatial max pooling operation (KSSC-SMP) algorithm for hyperspectral remote sensing imagery.
H. Zhang, H. Zhang, H. Zhai, W. Liao, L. Cao, L. Zhang, A. Pižurica   +6 more
doaj   +1 more source

Predicting Classification Performance for Benchmark Hyperspectral Datasets

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
The classification of hyperspectral images (HSIs) is an essential application of remote sensing and it is addressed by numerous publications every year.
Bin Zhao, Haukur Isfeld Ragnarsson, Magnus O. Ulfarsson, Gabriele Cavallaro, Jon Atli Benediktsson   +4 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

Determination of the transection margin during colorectal resection with hyperspectral imaging (HSI)

International Journal of Colorectal Disease, 2019
This study evaluated the use of hyperspectral imaging for the determination of the resection margin during colorectal resections instead of clinical macroscopic assessment.The used hyperspectral camera is able to record light spectra from 500 to 1000 nm and provides information about physiologic parameters of the recorded tissue area intraoperatively ...
Boris Jansen-Winkeln, N. Holfert, H. Köhler, Y. Moulla, J. P. Takoh, S. M. Rabe, M. Mehdorn, M. Barberio, C. Chalopin, T. Neumuth, I. Gockel   +10 more
openaire   +4 more sources

Hyperspectral Remote Sensing Image Synthesis via Superpixel and Energy-Guided Sampling-Based Diffusion Model

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Hyperspectral remote sensing images (HSIs) contain rich spectral information and have been widely used in agricultural monitoring, mineral analysis, and water monitoring.
Shaokai Weng, Hao Wu, Guowu Yuan, Shuanglin Zu   +3 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

Compression of hyperspectral images using discerete wavelet transform and tucker decomposition

, 2012
International audienceThe compression of hyperspectral images (HSIs) has recently become a very attractive issue for remote sensing applications because of their volumetric data.
Karami Robati, Azam, Yasdi, M., Mercier, Grégoire   +2 more
core   +1 more source

Combining Multi-Dimensional Convolutional Neural Network (CNN) With Visualization Method for Detection of Aphis gossypii Glover Infection in Cotton Leaves Using Hyperspectral Imaging

Frontiers in Plant Science, 2021
Cotton is a significant economic crop. It is vulnerable to aphids (Aphis gossypii Glovers) during the growth period. Rapid and early detection has become an important means to deal with aphids in cotton. In this study, the visible/near-infrared (Vis/NIR)
Tianying Yan, Tianying Yan, Wei Xu, Wei Xu, Jiao Lin, Long Duan, Long Duan, Pan Gao, Pan Gao, Chu Zhang, Chu Zhang, Chu Zhang, Xin Lv, Xin Lv   +13 more
doaj   +1 more source