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2021 IEEE Transactions on Geoscience and Remote Sensing  
Yang 478 Hyperspectral Image Mixed Noise Removal Based on Multidirectional Low-Rank Modeling and Spatial-Spectral Total Variation ......................................................................  ...  Chanussot, and D. 613 Superpixel-Based Reweighted Low-Rank and Total Variation Sparse Unmixing for Hyperspectral Remote Sensing Imagery ...............................................................  ... 
doi:10.1109/tgrs.2020.3039449 fatcat:sxee5msl55emhnszejgpf6vrpa

Can Terrestrial Restoration Methodologies be Transferred to Planetary Hyperspectral Imagery? A Quantitative Intercomparison and Discussion

Shuheng Zhao, Jie Li, Qiangqiang Yuan, Huanfeng Shen, Liangpei Zhang
2020 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
In this work, a comprehensive and systematic investigation on planetary noise categories is summarized initially, and an intercomparison among state-of-the-art terrestrial joint spatial-spectral restoration  ...  Then, spectral and spatial fidelity can be assessed indirectly.  ...  Anyone can download the data for free and without any licenses.  ... 
doi:10.1109/jstars.2020.3024911 fatcat:6gvm7afjt5g4jjxbh3dyf74y5q

3D local derivative pattern for hyperspectral face recognition

Jie Liang, Jun Zhou, Yongsheng Gao
2015 2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)  
Based on the local derivative pattern, our method encodes the hyperspectral faces with multi-directional derivatives and binarization function in spatial-spectral space.  ...  In this paper, we propose a novel 3D high-order texture pattern descriptor for hyperspectral face recognition, which effectively exploit both spatial and spectral features in hyperspectral images.  ...  In more recent, Unzir et al. developed a spatial-spectral feature extraction method based on 3D discrete cosine transform (DCT) to calculate low frequency coefficients of hyperspectral face images.  ... 
doi:10.1109/fg.2015.7163115 dblp:conf/fgr/LiangZG15 fatcat:qyl464k6tveszapvpgag3bweau

Hyperspectral Imaging and Analysis for Sparse Reconstruction and Recognition [article]

Zohaib Khan
2014 arXiv   pre-print
Adaptive spatio-spectral support and variable exposure hyperspectral imaging is demonstrated to improve spectral reflectance recovery from hyperspectral images.  ...  It was found that the joint sparse and joint group sparse hyperspectral image models achieve lower reconstruction error and higher recognition accuracy using only a small subset of bands.  ...  Abstract Hyperspectral imaging, also known as imaging spectroscopy, captures a data cube of a scene in two spatial and one spectral dimension.  ... 
arXiv:1407.7686v1 fatcat:cdx3eaoyvjaf7d6ve56c7ohv54

A genetic-algorithm-based selective principal component analysis (ga-spca) method for high-dimensional data feature extraction

Haibo Yao, Lei Tian
2003 IEEE Transactions on Geoscience and Remote Sensing  
In this paper, a genetic-algorithm-based selective principal component analysis (GA-SPCA) method is proposed and tested using hyperspectral remote sensing data and ground reference data collected within  ...  Subsequent image processing on the reduced feature space can thus be performed with improved accuracy.  ...  The authors also would like to thank ITD Spectral Visions Midwest for coordinating flight and providing images, and Precision Aviation for data collection.  ... 
doi:10.1109/tgrs.2003.811691 fatcat:7oxcgsv6rbhvvi3lm2df7sb4fu

A Two-Staged Feature Extraction Method Based on Total Variation for Hyperspectral Images

Chunchao Li, Xuebin Tang, Lulu Shi, Yuanxi Peng, Yuhua Tang
2022 Remote Sensing  
For aerial remote-sensing HSIs processing and its land cover classification, in this article, an efficient two-staged hyperspectral FE method based on total variation (TV) is proposed.  ...  Effective feature extraction (FE) has always been the focus of hyperspectral images (HSIs).  ...  A novel multidirectional low-rank modeling and spatial-spectral total variation (MLR-SSTV) model was proposed in [30] for removing HSI mixed noise, and they developed an efficient algorithm for solving  ... 
doi:10.3390/rs14020302 fatcat:ugztwh4al5hgllrwhiphqmbwci

Remote Sensing Applications [chapter]

2013 Essential Image Processing and GIS for Remote Sensing  
identification of geological features based on variations in spectral signatures help in satellite based geological mapping.  ...  Hyperspectral images collected within narrow and continuous spectral channel can detect the spectral signatures characteristic to minerals and therefore help immensely in lithological mapping based on  ...  Pediment: A broad, flat or gently sloping, rock floored erosion surface or plain of low relief, typically developed by sub aerial agents (including running water) in an arid or semiarid region at the base  ... 
doi:10.1002/9781118687963.part3 fatcat:zah35wqspncqnmsvt44e62hz54

Two decades observing smoke above clouds in the south-eastern Atlantic Ocean: Deep Blue algorithm updates and validation with ORACLES field campaign data

Andrew M. Sayer, N. Christina Hsu, Jaehwa Lee, Woogyung V. Kim, Sharon Burton, Marta A. Fenn, Richard A. Ferrare, Meloë Kacenelenbogen, Samuel LeBlanc, Kristina Pistone, Jens Redemann, Michal Segal-Rozenhaimer (+2 others)
2019 Atmospheric Measurement Techniques  
Resolution Imaging Spectroradiometer (MODIS), and Visible Infrared Imaging Radiometer Suite (VIIRS) from 1997 to 2017.  ...  for spectral AOD for MODIS and VIIRS; as the SeaWiFS mission ended in 2010, it cannot be evaluated directly.  ...  Haywood and reviewed by three anonymous referees.  ... 
doi:10.5194/amt-12-3595-2019 fatcat:uq5fhszivjeqvhbiurggsi3tde

Two decades observing smoke above clouds in the south-eastern Atlantic Ocean: Deep Blue algorithm updates and validation with ORACLES field campaign data

Andrew M. Sayer, N. Christina Hsu, Jaehwa Lee, Woogyung V. Kim, Sharon Burton, Marta A. Fenn, Richard A. Ferrare, Meloë Kacenelenbogen, Samuel LeBlanc, Kristina Pistone, Jens Redemann, Michal Segal-Rozenhaimer (+2 others)
2019 Atmospheric Measurement Techniques Discussions  
Field-of-view Sensor (SeaWiFS), Moderate Resolution Imaging Spectroradiometers (MODIS), and Visible Infrared Imaging Radiometer Suite (VIIRS).  ...  for spectral AOD for MODIS and VIIRS; as the SeaWiFS mission ended in 2010, it cannot be evaluated directly.  ...  This is based on spatial variability at the 412 nm band (where clouds tend to show greater spatial variability than 5 cloud-free scenes).  ... 
doi:10.5194/amt-2019-58 fatcat:ab477oyb65eb3jwtpemlqldihm

A Comprehensive Survey of Machine Learning Applied to Radar Signal Processing [article]

Ping Lang, Xiongjun Fu, Marco Martorella, Jian Dong, Rui Qin, Xianpeng Meng, Min Xie
2020 arXiv   pre-print
The main applications of ML-based RSP are then analysed and structured based on the application field.  ...  Modern radar systems have high requirements in terms of accuracy, robustness and real-time capability when operating on increasingly complex electromagnetic environments.  ...  Texture estimation subnetwork produced the TLM of images. Noise removal subnetwork learned a spatially variable mapping between the noise and clean images with the help of TLM.  ... 
arXiv:2009.13702v1 fatcat:m6am73324zdwba736sn3vmph3i

Meteorology and Oceanography

1952 Physics today  
EUMETSAT support and encouragement is gratefully acknowledged.  ...  Leber and Dr. E. Oriol by their help to facilitate images of the ESA Meteosat Exploitation Project.  ...  ACKNOWLEDGEMENTS Bart Althuis, Arnold Dekker, Erin Hoogenboom and Marcel Wernand are thanked for useful discussions on the ocean color problem.  ... 
doi:10.1063/1.3067492 fatcat:gpzkh2et5ndj5lcss2jsmgxbiy

39th European Conference on Visual Perception (ECVP) 2016 Barcelona

2016 Perception  
The M and P channels in turn are modelled using Gaussian based spatial filters.  ...  While the dominant eye is almost unaffected by the presence of depth information, the non-dominant one shows a decreased peak velocity, particularly on pink-noise images, where object texture is removed  ...  The objects first fixated during search were determined and compared to the first-fixated objects from an image-based model of attention in the superior colliculus (MASC).  ... 
doi:10.1177/0301006616671273 fatcat:el2dmsuk6zd25pedijucuexl5m

2020 Index IEEE Transactions on Industrial Informatics Vol. 16

2020 IEEE Transactions on Industrial Informatics  
Forests-Based Model for Ultra-Short-Term Prediction of PV Characteristics; TII Jan. 2020 202-214 Imran, A., see Hussain, B., TII Aug. 2020 4986-4996 Imran, M., see Fu, S., TII Sept. 2020 6013-6022  ...  Distributed Clock Synchronization Based on Intelligent Clustering in Local Area Industrial IoT Systems; TII June 2020 3697-3707 Jia, S., see Chen, C., 1873-1884 Jia, W., see Wang, T., 2054-2062 Jia,  ...  ., +, TII Feb. 2020 802-813 Image registration Rapid-Precision Position Measurement of Linear Motor Mover Based on Joint Spatial Phase Method.  ... 
doi:10.1109/tii.2021.3053362 fatcat:blfvdtsc3fdstnk6qoaazskd3i

Non-invasive sensing for food reassurance

Zou Xiaobo, Huang Xiaowei, Malcolm Povey
2016 The Analyst  
quality traits of interest using non-invasive sensing techniques are sensory characteristics, chemical composition, physicochemical properties, health-protecting properties, nutritional characteristics and  ...  A wide range of non-invasive sensing techniques, from optical, acoustical, electrical, to nuclear magnetic, X-ray, biosensor, microwave and terahertz, are organized according to physical principle.  ...  spatial and spectral information from an object 109, 110 .  ... 
doi:10.1039/c5an02152a pmid:26835653 fatcat:yahpwt4s4bdhfexrg7iwhlvpby

Present State of CFD Softwares Application for Launch Vehicle Analysis
발사체 해석을 위한 CFD 소프트웨어 적용 현황

Hwanghui Jeong, Jae Yeol Kim, Jae-Ryul Shin
2020 Journal of the Korean Society of Propulsion Engineers  
This software program takes an XML representation of the contents of a Hierarchical Data Format-Earth Observing System (HDF-EOS) file and recreates the file from that description .  ...  and low-supersonic jet mixing noise and shock noise .  ...  The toolbox affords the capability to synthesize coarser-spatial-resolution image data sets from finer-spatial-resolution data sets and multispectral image data products from hyperspectral image data products  ... 
doi:10.6108/kspe.2020.24.3.071 fatcat:trxkhiuqrjakll32bcjxskgwju
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