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Progressive Sample Processing of Band Selection for Hyperspectral Image Transmission
2018
Remote Sensing
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Such a revolutionary method is called progressive sample processing of band selection (PSP-BS). ...
Band selection (BS) is one of the important topics in hyperspectral image (HSI) processing. Many types of BS algorithms were proposed in the last decade. ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/rs10030367
fatcat:sg2yjtasmba5fih5e7tybr6sku
Editorial for Special Issue "Hyperspectral Imaging and Applications"
2019
Remote Sensing
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, Band Selection, Data Fusion, Applications. ...
The aim of this Special Issue "Hyperspectral Imaging and Applications" is to publish new ideas and technologies to facilitate the utility of hyperspectral imaging in data exploitation and to further explore ...
time sequentially, referred to as sequential multiple band selection (SQMBS), as most traditional band selection methods do.
10-00367 Progressive Sample Processing of Band Selection for Hyperspectral ...
doi:10.3390/rs11172012
fatcat:c23u3rahgjhctowk5xwllt2qea
Interactive transmission of spectrally wavelet-transformed hyperspectral images
2008
Satellite Data Compression, Communication, and Processing IV
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Remote sensing images are not only stored, but also processed and transmitted, raising the need for more resources and bandwidth. ...
On another side, hyperspectral remote sensing images have a large number of components with a significant inter-component redundancy, which is usually taken into account by many image coding systems to ...
Acknowledgments The authors would like to thank Fernando García-Vílchez for his help with the implementation. ...
doi:10.1117/12.794749
fatcat:eh7v5rw5srcydcwnlkrd7n2nyu
Foreword to the Special Issue on High Performance Computing in Earth Observation and Remote Sensing
2011
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
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technique for band selection is presented. ...
Band selection is a common technique for dimensionality reduction. ...
doi:10.1109/jstars.2011.2163551
fatcat:svzr3gwtbfhxngtyu6nr74ke7m
Onboard Image Processing System for Hyperspectral Sensor
2015
Sensors
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Onboard image processing systems for a hyperspectral sensor have been developed in order to maximize image data transmission efficiency for large volume and high speed data downlink capacity. ...
Since more than 100 channels are required for hyperspectral sensors on Earth observation satellites, fast and small-footprint lossless image compression capability is essential for reducing the size and ...
Acknowledgments This project is contracted with Japan Space Systems (JSS) supported by Ministry of Economy, Trade and Industry (METI). ...
doi:10.3390/s151024926
pmid:26404281
pmcid:PMC4634475
fatcat:txb7tx7blnb7fdow35ntbpt53y
The Role of Hyperspectral Imaging: A Literature Review
2018
International Journal of Advanced Computer Science and Applications
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The proposed idea can be useful for further research in the field of hyperspectral imaging using deep learning. ...
Hyperspectral remote sensors achieve imagery data in the form of hundreds of adjoining spectral bands. ...
In image processing, few images are selected from the collection of images for rapid computation. Selection of those images is based on the importance of their wavelength for shifting carefully. ...
doi:10.14569/ijacsa.2018.090808
fatcat:54bc7yptrrddhcqd4snkbkuxna
A Combined Quantitative Evaluation Model for the Capability of Hyperspectral Imagery for Mineral Mapping
2019
Sensors
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The proposed model considers the influence factors of the full radiation transmission process and processing algorithms. ...
To analyze the influence factors of hyperspectral remote sensing data processing, and quantitatively evaluate the application capability of hyperspectral data, a combined evaluation model based on the ...
imaging−processing progress and the analytic description. ...
doi:10.3390/s19020328
fatcat:fhelevjg7ra7jc55d5n5gwplam
Research on Compression Perceptual Hyperspectral Image Reconstruction Based on GISMT
2019
DEStech Transactions on Computer Science and Engineering
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However, the huge amount of information also causes the problem of large amount of hyperspectral image data, which makes the hyperspectral image data face a lot of problems in the aspects of transmission ...
This method can improve the reconstruction effect of hyperspectral remote sensing image. ...
In this paper, the hyperspectral remote sensing image numbered L1A0002851779 is selected for experiment. There are 115 spectral bands in this image. ...
doi:10.12783/dtcse/ccme2018/28609
fatcat:7ag7qivpwngt7c7lbvrlfznioi
Non-Destructive Assessment of Chicken Egg Fertility
2020
Sensors
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Hyperspectral imaging was extensively discussed, being an emerging new technology with great potential. ...
This paper reviewed existing non-destructive approaches including ultrasound and dielectric measurements, thermal imaging, machine vision, spectroscopy, and hyperspectral imaging. ...
Band selection has been widely accepted as appropriate for hyperspectral imaging data due to its aid in speedy information acquisition/processing and eventually resulting in great cost savings [91] . ...
doi:10.3390/s20195546
pmid:32998290
fatcat:ouckapkrqfeehe5x37nerhn77e
Characterization by Hyperspectral Imaging and Hypercolor Gamut Estimation for Structural Color Prints
[chapter]
2017
Lecture Notes in Computer Science
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The difficulty for an exhaustive color characterization of the printing technology comes not only from the goniochromaticity of the samples, but also from their very high specularity, to which classical ...
is available today, their characterization requires measurement of many printed samples. ...
-0006 and the LABEX MANUTECH-SISE (ANR-10-LABX-0075) of Université de Lyon. ...
doi:10.1007/978-3-319-56010-6_18
fatcat:k6f5w2tt5fay7gcerxcjb2nwki
Hyperspectral Image Reconstruction Based on Reference Point Nondominated Sorting Genetic Algorithm
2022
Mobile Information Systems
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The Gabor redundancy dictionary is established as the sparse basis of hyperspectral images, and the reconstruction model of multiobjective optimization is constructed. ...
Instead of directly reconstructing the entire hyperspectral data as a traditional OMP reconstruction algorithm, the proposed algorithm explores the idea of the evolution process in the reconstruction. ...
The progress of hyperspectral imaging spectrometer, the analysis and processing of hyperspectral image data, and the improvement of image interpretation have become frontier research fields that have attracted ...
doi:10.1155/2022/8455150
fatcat:bmrr4swhendeteksgl522gq5w4
Hyperspectral Sensing Techniques Applied to Bio-masses Characterization: The Olive Husk Case
[chapter]
2011
IFIP Advances in Information and Communication Technology
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In this paper an analytical approach, based on HyperSpectral Imaging (HSI) is presented. ...
HSI allows to perform, also on-line, a full quantification of OH characteristics in order to qualify this product for its further re-use, with particular reference as bio-mass. ...
Hyperspectral images are, in fact, made up of hundreds of contiguous wavebands for each spatial position of a target studied. ...
doi:10.1007/978-3-642-18369-0_89
fatcat:5tiuxnavmze3xd4heqxprdrn5q
Research Progress on the Early Monitoring of Pine Wilt Disease Using Hyperspectral Techniques
2020
Sensors
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The use of hyperspectral cameras mounted on drones is expected to enable PWD monitoring over large areas of forest, and hyperspectral images can reflect different stages of PWD. ...
Thus, one of the key strategies for controlling pine wilt disease is to identify epidemic points as early as possible. ...
Conflicts of Interest: The authors declare no conflicts of interest. ...
doi:10.3390/s20133729
pmid:32635285
pmcid:PMC7374340
fatcat:rmllfopgdnhktggejtfpwqqeza
Progressive resolution coding of hyperspectral imagery featuring region of interest access
2005
Visual Information Processing XIV
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The structure of hyperspectral images reveals spectral responses that would seem ideal candidates for compression by 3D-SPECK. ...
We propose resolution progressive Three-Dimensional Set Partitioned Embedded bloCK (3D-SPECK), an embedded wavelet based algorithm for hyperspectral image compression. ...
CONCLUSION An embedded, block based, image wavelet transform coding algorithm of low complexity has been proposed. The algorithm has excellent performance for hyperspectral image compression. ...
doi:10.1117/12.604634
dblp:conf/spieVIP/TangP05
fatcat:tnqg24awbngxthxtaiudn5nlby
Optical Filter Net: A Spectral-Aware RGB Camera Framework for Effective Green Pepper Segmentation
2021
IEEE Access
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Unlike the methods mentioned above, an alternative approach was developed by selecting limited band information from the hyperspectral image and increasing features by morphological calculation. ...
FIGURE 3 . 3 The sample color images were rendered from our hyperspectral dataset and the corresponding ground truth of each image.
FIGURE 4 4 FIGURE 4. ...
doi:10.1109/access.2021.3091305
fatcat:cymdrklhtjaszpytllla4o3g44
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