Resource Type

Journal Article 10

Year

2024 1

2023 1

2022 1

2020 1

2019 1

2018 1

2017 2

2016 1

2008 1

open ︾

Keywords

Hyperspectral imaging 2

hyperspectral 2

3D reconstruction 1

Biochemical indicators 1

Cell-to-module efficiency gap 1

Computational imaging 1

Control strategy 1

Cu(Inx 1

EMI 1

Endmember 1

Femto-photography 1

Fingerprint spectral signatures 1

Floor noise correction 1

Ga1-x)Se2 1

HLB 1

Hyperspectral 1

Hyperspectral photoluminescence 1

JR 1

Laser ablation short-range heat effect 1

Leaf lesion progression 1

open ︾

Search scope:

排序： Display mode:

Feature extraction of hyperspectral images for detecting immature green citrus fruit

Yongjun DING, Won Suk LEE, Minzan LI

Frontiers of Agricultural Science and Engineering 2018, Volume 5, Issue 4,   Pages 475-484 doi: 10.15302/J-FASE-2018241

Abstract:

At an early immature growth stage of citrus, a hyperspectral camera of 369–1042 nm was employedto acquire 30 hyperspectral images in order to detect immature green fruit within citrus trees underselect 677, 804, 563, 962, and 405 nm wavebands and to construct multispectral images from the original hyperspectral

Keywords： hyperspectral     green citrus     image processing     fruit detection     precision agriculture     yield mapping    

HTML PDF Collect

Detection of Huanglongbing (citrus greening) based on hyperspectral image analysis and PCR

Kejian WANG, Dongmei GUO, Yao ZHANG, Lie DENG, Rangjin XIE, Qiang LV, Shilai YI, Yongqiang ZHENG, Yanyan MA, Shaolan HE

Frontiers of Agricultural Science and Engineering 2019, Volume 6, Issue 2,   Pages 172-180 doi: 10.15302/J-FASE-2019256

Abstract: First, hyperspectral data of the upper and lower leaf surfaces were obtained, and then the polymeraseleaves, and the least squares support vector machine recognition model was established based on the leaf hyperspectralHLB-infected leaves, and the HLB PCR-positive leaves could be distinguished from the healthy by the hyperspectralnondestructive detection of HLB-infected leaves without symptoms is possible, which provides a basis for the hyperspectral

Keywords： citrus     HLB     hyperspectral     identification     PCR    

HTML PDF Collect

Non-negativematrix factorization based unmixing for principal component transformed hyperspectral data

Xiu-rui GENG,Lu-yan JI,Kang SUN

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 5,   Pages 403-412 doi: 10.1631/FITEE.1600028

Abstract: Non-negative matrix factorization (NMF) has been widely used in mixture analysis for hyperspectral remotespectral unmixing analysis, however, it has two main shortcomings: (1) since the dimensionality of hyperspectral

Keywords： Non-negative matrix factorization (NMF)     Principal component analysis (PCA)     Endmember     Hyperspectral    

HTML PDF Collect

Spectral characteristics of plant communities from salt marshes: A case study from Chongming Dongtan, Yangtze estuary, China

ZHANG Liquan, GAO Zhanguo, Armitage Richard, Kent Martin

Frontiers of Environmental Science & Engineering 2008, Volume 2, Issue 2,   Pages 187-197 doi: 10.1007/s11783-008-0004-1

Abstract: Further work using multi-seasonal hyperspectral data might assist in solving these problems.

Keywords： Spectral     multi-seasonal hyperspectral     invasive     JR     re-analysed    

HTML PDF Collect

High-resolution spectral video acquisition Review

Lin-sen CHEN, Tao YUE, Xun CAO, Zhan MA, David J. BRADY

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 9,   Pages 1250-1260 doi: 10.1631/FITEE.1700098

Abstract: Compared with conventional cameras, spectral imagers providemany more features in the spectral domain. They have been used invarious fields such as material identification, remote sensing, precisionagriculture, and surveillance. Traditional imaging spectrometers usegenerally scanning systems. They cannot meet the demands of dynamicscenarios. This limits the practical applications for spectral imaging.Recently, with the rapid development in computational photographytheory and semiconductor techniques, spectral video acquisition hasbecome feasible. This paper aims to offer a review of the state-of-the-artspectral imaging technologies, especially those capable of capturingspectral videos. Finally, we evaluate the performances of the existingspectral acquisition systems and discuss the trends for future work.

Keywords： Multispectral/hyperspectral video acquisition     Snapshot     Under-sampling and reconstruction    

HTML PDF Collect

Power Losses in Cu(Inx,Ga1–x)Se2 (CIGS) Modules Through Hyperspectral Article

César Omar Ramírez Quiroz, Laura-Isabelle Dion-Bertrand, Christoph J. Brabec, Joachim Müller, Kay Orgassa

Engineering 2020, Volume 6, Issue 12,   Pages 1395-1402 doi: 10.1016/j.eng.2019.12.019

Abstract:

In this report, we show that hyperspectral high-resolution photoluminescence mapping is a powerful

Keywords： Cu(Inx     Ga1-x)Se2     Cell-to-module efficiency gap     P1-induced power losses     Hyperspectral photoluminescence    

HTML PDF Collect

High Spatial Resolution Ozone Profiles Retrieved from the First Chinese Ultraviolet–Visible Hyperspectral Article

Fei Zhao, Cheng Liu, Qihou Hu, Congzi Xia, Chengxin Zhang, Wenjing Su

Engineering 2024, Volume 32, Issue 1,   Pages 106-115 doi: 10.1016/j.eng.2023.02.020

Abstract: Monitoring Instrument (EMI) deployed on the Gaofen-5 satellite is the first Chinese ultraviolet-visible hyperspectral

Keywords： Ozone profiles     EMI     Soft calibration     Floor noise correction     Stratospheric ozone intrusion    

HTML PDF Collect

Emerging theories and technologies on computationalimaging Review

Xue-mei HU, Jia-min WU, Jin-li SUO, Qiong-hai DAI

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 9,   Pages 1207-1221 doi: 10.1631/FITEE.1700211

Abstract: Computational imaging describes the whole imaging process fromthe perspective of light transport and information transmission, featurestraditional optical computing capabilities, and assists in breakingthrough the limitations of visual information recording. Progressin computational imaging promotes the development of diverse basicand applied disciplines. In this review, we provide an overview ofthe fundamental principles and methods in computational imaging, thehistory of this field, and the important roles that it plays in thedevelopment of science. We review the most recent and promising advancesin computational imaging, from the perspective of different dimensionsof visual signals, including spatial dimension, temporal dimension,angular dimension, spectral dimension, and phase. We also discusssome topics worth studying for future developments in computationalimaging.

Keywords： imaging     Multi-scale and multi-dimensional     Super-resolution     Femto-photography     3D reconstruction     Hyperspectral    

HTML PDF Collect

Fingerprint Spectral Signatures Revealing the Spatiotemporal Dynamics of Bipolaris Spot Blotch Progression for Presymptomatic Diagnosis Article

Fengle Zhu, Zhenzhu Su, Alireza Sanaeifar, Anand Babu Perumal, Mostafa Gouda, Ruiqing Zhou, Xiaoli Li, Yong He

Engineering 2023, Volume 22, Issue 3,   Pages 171-184 doi: 10.1016/j.eng.2022.10.006

Abstract: Hyperspectral imaging (HSI) has great potential for tracking the dynamics of initial infected sites for

Keywords： Hyperspectral imaging     Fingerprint spectral signatures     Spot blotch     Leaf lesion progression     Presymptomatic    

HTML PDF Collect

Ground-based Hyperspectral Stereoscopic Remote Sensing Network: A Promising Strategy to Learn Coordinated Article

Cheng Liu, Chengzhi Xing, Qihou Hu, Qihua Li, Haoran Liu, Qianqian Hong, Wei Tan, Xiangguang Ji, Hua Lin, Chuan Lu, Jinan Lin, Hanyang Liu, Shaocong Wei, Jian Chen, Kunpeng Yang, Shuntian Wang, Ting Liu, Yujia Chen

Engineering 2022, Volume 19, Issue 12,   Pages 71-83 doi: 10.1016/j.eng.2021.02.019

Abstract: The University of Science and Technology of China (USTC) has established a nationwide ground-based hyperspectralThis ground-based hyperspectral stereoscopic remote sensing network provide a promising strategy to support

Keywords： MAX-DOAS     Stereoscopic monitoring     Regional transport     Ozone production     Control strategy    

HTML PDF Collect

Title Author Date Type Operation

Feature extraction of hyperspectral images for detecting immature green citrus fruit

Yongjun DING, Won Suk LEE, Minzan LI

Journal Article

Detection of Huanglongbing (citrus greening) based on hyperspectral image analysis and PCR

Kejian WANG, Dongmei GUO, Yao ZHANG, Lie DENG, Rangjin XIE, Qiang LV, Shilai YI, Yongqiang ZHENG, Yanyan MA, Shaolan HE

Journal Article

Non-negativematrix factorization based unmixing for principal component transformed hyperspectral data

Xiu-rui GENG,Lu-yan JI,Kang SUN

Journal Article

Spectral characteristics of plant communities from salt marshes: A case study from Chongming Dongtan, Yangtze estuary, China

ZHANG Liquan, GAO Zhanguo, Armitage Richard, Kent Martin

Journal Article

High-resolution spectral video acquisition

Lin-sen CHEN, Tao YUE, Xun CAO, Zhan MA, David J. BRADY

Journal Article

Power Losses in Cu(Inx,Ga1–x)Se2 (CIGS) Modules Through Hyperspectral

César Omar Ramírez Quiroz, Laura-Isabelle Dion-Bertrand, Christoph J. Brabec, Joachim Müller, Kay Orgassa

Journal Article

High Spatial Resolution Ozone Profiles Retrieved from the First Chinese Ultraviolet–Visible Hyperspectral

Fei Zhao, Cheng Liu, Qihou Hu, Congzi Xia, Chengxin Zhang, Wenjing Su

Journal Article

Emerging theories and technologies on computationalimaging

Xue-mei HU, Jia-min WU, Jin-li SUO, Qiong-hai DAI

Journal Article

Fingerprint Spectral Signatures Revealing the Spatiotemporal Dynamics of Bipolaris Spot Blotch Progression for Presymptomatic Diagnosis

Fengle Zhu, Zhenzhu Su, Alireza Sanaeifar, Anand Babu Perumal, Mostafa Gouda, Ruiqing Zhou, Xiaoli Li, Yong He

Journal Article

Ground-based Hyperspectral Stereoscopic Remote Sensing Network: A Promising Strategy to Learn Coordinated

Cheng Liu, Chengzhi Xing, Qihou Hu, Qihua Li, Haoran Liu, Qianqian Hong, Wei Tan, Xiangguang Ji, Hua Lin, Chuan Lu, Jinan Lin, Hanyang Liu, Shaocong Wei, Jian Chen, Kunpeng Yang, Shuntian Wang, Ting Liu, Yujia Chen

Journal Article