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Progressive Sample Processing of Band Selection for Hyperspectral Image Transmission

Keng-Hao Liu, Shih-Yu Chen, Hung-Chang Chien, Meng-Han Lu
2018 Remote Sensing  
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"

Chein-I Chang, Meiping Song, Junping Zhang, Chao-Cheng Wu
2019 Remote Sensing  
, 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

José Lino Monteagudo-Pereira, Joan Bartrina-Rapesta, Francesc Aulí-Llinàs, Joan Serra-Sagristà, Alaitz Zabala, Xavier Pons, Bormin Huang, Roger W. Heymann, Joan Serra-Sagrista
2008 Satellite Data Compression, Communication, and Processing IV  
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

Antonio Plaza, Qian Du, Yang-Lang Chang, Roger L. King
2011 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
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

Hiroki Hihara, Kotaro Moritani, Masao Inoue, Yoshihiro Hoshi, Akira Iwasaki, Jun Takada, Hitomi Inada, Makoto Suzuki, Taeko Seki, Satoshi Ichikawa, Jun Tanii
2015 Sensors  
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

Muhammad Mateen, Junhao Wen, Nasrullah, Muhammad Azeem
2018 International Journal of Advanced Computer Science and Applications  
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

Na Li, Xinchen Huang, Huijie Zhao, Xianfei Qiu, Kewang Deng, Guorui Jia, Zhenhong Li, David Fairbairn, Xuemei Gong
2019 Sensors  
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  ...  imagingprocessing progress and the analytic description.  ... 
doi:10.3390/s19020328 fatcat:fhelevjg7ra7jc55d5n5gwplam

Research on Compression Perceptual Hyperspectral Image Reconstruction Based on GISMT

Sheng CANG, A-chuan WANG
2019 DEStech Transactions on Computer Science and Engineering  
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

Adeyemi O. Adegbenjo, Li Liu, Michael O. Ngadi
2020 Sensors  
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]

Mathieu Hébert, Juan Martínez-García, Thomas Houllier, Hayk Yepremian, Nicolas Crespo-Monteiro, Francis Vocanson, Alain Trémeau, Nathalie Destouches
2017 Lecture Notes in Computer Science  
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

Li Wang, Wei Wang, Hasan Ali Khattak
2022 Mobile Information Systems  
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]

Giuseppe Bonifazi, Silvia Serranti
2011 IFIP Advances in Information and Communication Technology  
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

Weibin Wu, Zhenbang Zhang, Lijun Zheng, Chongyang Han, Xiaoming Wang, Jian Xu, Xinrong Wang
2020 Sensors  
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

Xiaoli Tang, William A. Pearlman, Zia-ur Rahman, Robert A. Schowengerdt, Stephen E. Reichenbach
2005 Visual Information Processing XIV  
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

Jun Yu, Toru Kurihara, Shu Zhan
2021 IEEE Access  
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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