Results 331 to 340 of about 270,656 (363)

Auto-AD: Autonomous Hyperspectral Anomaly Detection Network Based on Fully Convolutional Autoencoder

IEEE Transactions on Geoscience and Remote Sensing, 2021
Hyperspectral anomaly detection is aimed at detecting observations that differ from their surroundings, and is an active area of research in hyperspectral image processing. Recently, autoencoders (AEs) have been applied in hyperspectral anomaly detection;
Shaoyu Wang, Xinyu Wang, Liangpei Zhang, Yanfei Zhong   +3 more
semanticscholar   +1 more source

Learning Tensor Low-Rank Representation for Hyperspectral Anomaly Detection

IEEE Transactions on Cybernetics, 2022
Recently, low-rank representation (LRR) methods have been widely applied for hyperspectral anomaly detection, due to their potentials in separating the backgrounds and anomalies.
Minghua Wang, Qiang Wang, D. Hong, S. K. Roy, J. Chanussot   +4 more
semanticscholar   +1 more source

GACNet: Generate Adversarial-Driven Cross-Aware Network for Hyperspectral Wheat Variety Identification

IEEE Transactions on Geoscience and Remote Sensing
Wheat variety identification from hyperspectral images holds significant importance in both fine breeding and intelligent agriculture. However, the discriminatory accuracy of some techniques is limited due to insufficient datasets, data redundancy, and ...
Weidong Zhang, Zexu Li, Guohou Li, Peixian Zhuang, Guojia Hou, Qiang Zhang, C. Li   +6 more
semanticscholar   +1 more source

Infrared upconversion hyperspectral imaging

Optics Letters, 2015
In this Letter, hyperspectral imaging in the mid-IR spectral region is demonstrated based on nonlinear frequency upconversion and subsequent imaging using a standard Si-based CCD camera. A series of upconverted images are acquired with different phase match conditions for the nonlinear frequency conversion process.
Louis Martinus, Kehlet, Peter, Tidemand-Lichtenberg, Jeppe Seidelin, Dam, Christian, Pedersen   +3 more
openaire   +2 more sources

Fusing Hyperspectral and Multispectral Images via Coupled Sparse Tensor Factorization

IEEE Transactions on Image Processing, 2018
Fusing a low spatial resolution hyperspectral image (LR-HSI) with a high spatial resolution multispectral image (HR-MSI) to obtain a high spatial resolution hyperspectral image (HR-HSI) has attracted increasing interest in recent years. In this paper, we
Shutao Li, Renwei Dian, Leyuan Fang, J. Bioucas-Dias   +3 more
semanticscholar   +1 more source

Capturing hyperspectral images

Nature Methods, 2023
openaire   +2 more sources

Classification of hyperspectral remote sensing images with support vector machines

IEEE Transactions on Geoscience and Remote Sensing, 2004
F. Melgani, L. Bruzzone
semanticscholar   +1 more source

Spectral–Spatial Residual Network for Hyperspectral Image Classification: A 3-D Deep Learning Framework

IEEE Transactions on Geoscience and Remote Sensing, 2018
Zilong Zhong, Jonathan Li, Zhiming Luo, M. Chapman   +3 more
semanticscholar   +1 more source

Hyperspectral plasmonics

2011 ICO International Conference on Information Photonics, 2011
Dominic Lepage, Alvaro Jimenez, Dominic Carrier, Jan J. Dubowski   +3 more
openaire   +2 more sources

Deep Learning-Based Classification of Hyperspectral Data

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2014
Yushi Chen, Zhouhan Lin, Xing Zhao, G. Wang, Yanfeng Gu   +4 more
semanticscholar   +1 more source