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Mid-Infrared Compressive Hyperspectral Imaging

Shuowen Yang, Xiang Yan, Hanlin Qin, Qingjie Zeng, Yi Liang, Henry Arguello, Xin Yuan
2021 Remote Sensing  
To the best of our knowledge, this is the first mid-infrared compressive hyperspectral imaging approach that could offer a less expensive alternative to conventional mid-infrared hyperspectral imaging  ...  A proof-of-concept setup is built to capture the mid-infrared hyperspectral data of 64 pixels × 48 pixels × 100 spectral channels ranging from 3 to 5 μm, with the acquisition time within one minute.  ...  Conflicts of Interest: The authors declare no conflict of interest. Remote Sens. 2021, 13, 741  ... 
doi:10.3390/rs13040741 fatcat:ufge4zhpnjdt3pemnbc5kxtvqm

2019 Index IEEE Transactions on Geoscience and Remote Sensing Vol. 57

2019 IEEE Transactions on Geoscience and Remote Sensing  
., Insect Biological Parameter Estimation Based on the Invariant Target Parameters of the Scattering Matrix; TGRS Aug. 2019 6212-6225 Hu, C., see Zhang, M., TGRS Sept. 2019 6666-6674 Hu, C., Zhang,  ...  Incorporating Temporary Coherent Li, X., Yeo, T.S., Yang, Y., Chi, C., Zuo, F., Hu, X., and Pi, Y., Refo-cusing and Zoom-In Polar Format Algorithm for Curvilinear Spotlight SAR Imaging on Arbitrary Region of  ...  ., +, TGRS July 2019 5043-5053 Spectral Super Resolution of Hyperspectral Images via Coupled Dictionary Learning.  ... 
doi:10.1109/tgrs.2020.2967201 fatcat:kpfxoidv5bgcfo36zfsnxe4aj4

2015 Index IEEE Transactions on Geoscience and Remote Sensing Vol. 53

2015 IEEE Transactions on Geoscience and Remote Sensing  
Image Denoising via Sparse Representation and Low-Rank Constraint.  ...  Martin, G., +, TGRS May 2015 2819-2831 Hyperspectral Image Denoising via Sparse Representation and Low-Rank Constraint.  ... 
doi:10.1109/tgrs.2015.2513444 fatcat:zuklkpk4gjdxjegoym5oagotzq

2019 Index IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Vol. 12

2019 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
Liu, J., +, JSTARS Aug. 2019 2810-2821 Quantification of Ammonia Emissions With High Spatial Resolution Thermal Infrared Observations From the Hyperspectral Thermal Emission Spectrometer (HyTES) Airborne  ...  Ying, W., +, JSTARS July 2019 2252-2259 Quantification of Ammonia Emissions With High Spatial Resolution Thermal Infrared Observations From the Hyperspectral Thermal Emission Spectrometer (HyTES) Airborne  ... 
doi:10.1109/jstars.2020.2973794 fatcat:sncrozq3fjg4bgjf4lnkslbz3u

2020 Index IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Vol. 13

2020 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
., +, JSTARS 2020 3-13 Retrieval of Surface Temperature and Emissivity From Ground-Based Time-Series Thermal Infrared Data.  ...  ., +, JSTARS 2020 3856-3861 Retrieval of Surface Temperature and Emissivity From Ground-Based Time-Series Thermal Infrared Data.  ...  A New Deep-Learning-Based Approach for Earthquake-Triggered Landslide Detection From Single-Temporal RapidEye Satellite Imagery. Yi, Y., +, JSTARS 2020  ... 
doi:10.1109/jstars.2021.3050695 fatcat:ycd5qt66xrgqfewcr6ygsqcl2y

2014 Index IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Vol. 7

2014 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
., +, JSTARS May 2014 1651-1657 2014 49-58 Infrared spectra : Ensemble Extreme Learning Machines for Hyperspectral Image Classification.  ...  ., +, JSTARS July 2014 2856-2868 Thermal Monitoring of Eyjafjöll Volcano Eruptions by Means of Infrared MODIS Data.  ... 
doi:10.1109/jstars.2015.2397347 fatcat:ib3tjwsjsnd6ri6kkklq5ov37a

Advances in Hyperspectral Image and Signal Processing: A Comprehensive Overview of the State of the Art

Pedram Ghamisi, Naoto Yokoya, Jun Li, Wenzhi Liao, Sicong Liu, Javier Plaza, Behnood Rasti, Antonio Plaza
2017 IEEE Geoscience and Remote Sensing Magazine  
reduction, resolution enhancement, hyperspectral image denoising and restoration, change detection, and fast computing.  ...  However, a huge number of factors, such as high dimensions and size of the hyperspectral data, the lack of training samples, mixed pixels, light scattering mechanisms in the acquisition process, and different  ...  Paolo Gamba of the University of Pavia, Italy and Prof. D. Landgrebe of Purdue University for providing the Pavia University and Indian Pines data sets, respectively.  ... 
doi:10.1109/mgrs.2017.2762087 fatcat:6ezzye7yyvacbouduqv2f2c7gi

Table of Contents

2020 IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium  
ESA'S TU2-R5.5: JOINT GROUP SPARSE COLLABORATIVE REPRESENTATION FOR ....................................................... 846 HYPERSPECTRAL IMAGE CLASSIFICATION Qing Tian, Juan Zhao, Xia Bai, Beijing  ...  R7.2: DICTIONARY LEARNING HYPERSPECTRAL TARGET DETECTION ALGORITHM .......................... 1763 BASED ON TUCKER TENSOR DECOMPOSITION Chunhui Zhao, Mingxing Wang, Nan Su, Shou Feng, Harbin Engineering  ... 
doi:10.1109/igarss39084.2020.9323828 fatcat:6aittajt35gufeaugcmemu5cya

Table of Contents

2021 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS  
NON-COOPERATIVE TARGETS FOR INISAR SYSTEM Rui Gong, Ling Wang, Daiyin Zhu, Nanjing University of Aeronautics and Astronautics, China WE2.MM-20.6: TARGET-ORIENTED SAR FORMATION VIA SPARSE DICTIONARY LEARNING  ...  USING OPTICAL, THERMAL INFRARED, AND RADAR IMAGERY OVER BOREAL FORESTS Brigitte Leblon, University of New Brunswick, Canada WE3.O-12: PANSHARPENING AND IMAGE ENHANCEMENT WE3.O-12.1:LEARNTOHAVE COLOR  ... 
doi:10.1109/igarss47720.2021.9553380 fatcat:zm7sioez6vgblpj25frkkxtfc4

2021 Index IEEE Transactions on Instrumentation and Measurement Vol. 70

2021 IEEE Transactions on Instrumentation and Measurement  
The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, and article number.  ...  Song, Y., +, TIM 2021 5012810 Nondestructive Phenolic Compounds Measurement and Origin Discrimination of Peated Barley Malt Using Near-Infrared Hyperspectral Imagery and Machine Learning.  ...  ., +, TIM 2021 6500814 Measuring Heterogeneous Thermal Patterns in Infrared-Based Diagnostic Systems Using Sparse Low-Rank Matrix Approximation: Comparative Study.  ... 
doi:10.1109/tim.2022.3156705 fatcat:dmqderzenrcopoyipv3v4vh4ry

2020 Index IEEE Transactions on Industrial Informatics Vol. 16

2020 IEEE Transactions on Industrial Informatics  
Learning for Nonlinear Batch Process Monitoring; TII April 2020 2839-2848 Jiang, S., see Li, Y., 1076-1085 Jiang, X., see Gong, K., 1625-1634 Jiang, X., see Xiao, J., TII April 2020 2177-2188 Jiang,  ...  7056-7066 Jiang, L., see Cai, H., TII Jan. 2020 587-594 Jiang, L., see Xia, Z., TII Jan. 2020 629-638 Jiang, Q., Yan, S., Yan, X., Yi, H., and Gao, F., Data-Driven Two-Dimensional Deep Correlated Representation  ...  ., +, TII Oct. 2020 6347-6358 Signal representation Self-Taught Semisupervised Dictionary Learning With Nonnegative Constraint.  ... 
doi:10.1109/tii.2021.3053362 fatcat:blfvdtsc3fdstnk6qoaazskd3i

A combined local and global motion estimation and compensation method for cardiac CT

Qiulin Tang, Beshan Chiang, Akinola Akinyemi, Alexander Zamyatin, Bibo Shi, Satoru Nakanishi, Bruce R. Whiting, Christoph Hoeschen
2014 Medical Imaging 2014: Physics of Medical Imaging  
On one hand, patch based sparsity is addressed by sparse representation and dictionary learning methods, on the other hand, patch based similarity is addressed by non-local means filter method.  ...  This integral expression over spatial frequency predicts idealobserver performance from the product of task and instrument spectra using B-mode images.  ...  2 cm) in tens of minutes yielding images containing millions of spectra. Spectra are then automatically classified as one of seven cell-types in prostate tissue in a matter of seconds.  ... 
doi:10.1117/12.2043492 fatcat:fyzpc5m6jbh7fjohqpdmtzkhte

Atomic-scale and three-dimensional transmission electron microscopy of nanoparticle morphology

Rowan Kendall Leary, Apollo-University Of Cambridge Repository, Apollo-University Of Cambridge Repository
2015
So-called 'non-crystallographic' five-fold twinned nanoparticles are observed, adding a new perspective in the long standing debate over how such morphologies may be achieved.  ...  The burgeoning field of nanotechnology motivates comprehensive elucidation of nanoscale materials.  ...  Another promising approach is 'dictionary learning', in which the sparse basis is learned empirically [318, 391] .  ... 
doi:10.17863/cam.14282 fatcat:owgizabd7neltlijy5z3nq3dty