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International Journal of Remote Sensing Volume 29, 2008 - Issue 10
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Original Articles

Using low‐spectral‐resolution images to acquire simulated hyperspectral images

Fang Chen State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Beijing 100101, China; Graduate School of the Chinese Academy of Sciences, Beijing 100039, China
,
Zheng Niu State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Beijing 100101, ChinaCorrespondencecftrue@sohu. com
,
GenYun Sun State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Beijing 100101, China; Graduate School of the Chinese Academy of Sciences, Beijing 100039, China
,
ChangYao Wang State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Beijing 100101, China
&
Jack Teng Resource Management and Environmental Sciences, University of British Columbia, V6T 124, Canada
Pages 2963-2980 | Received 19 Sep 2006, Accepted 31 Mar 2007, Published online: 29 Apr 2008

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Yong Ge & Hexiang Bai. (2011) Multiple-point simulation-based method for extraction of objects with spatial structure from remotely sensed imagery. International Journal of Remote Sensing 32:8, pages 2311-2335.
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Articles from other publishers (15)

Yilin Bao, Fengmei Yao, Xiangtian Meng, Jiahua Zhang, Huanjun Liu & Abdul Mounem Mouazen. (2023) Predicting soil organic carbon in cultivated land across geographical and spatial scales: Integrating Sentinel-2A and laboratory Vis-NIR spectra. ISPRS Journal of Photogrammetry and Remote Sensing 203, pages 1-18.
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Ali Mohamed, Ashraf Emam & Basem Zoheir. (2023) SAM-HIT: A Simulated Annealing Multispectral to Hyperspectral Imagery Data Transformation. Remote Sensing 15:4, pages 1154.
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Xiangtian Meng, Yilin Bao, Huanjun Liu, Xinle Zhang & Xiang Wang. (2022) A new digital soil mapping method with temporal-spatial-spectral information derived from multi-source satellite images. Geoderma 425, pages 116065.
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Xiangtian Meng, Yilin Bao, Yiang Wang, Xinle Zhang & Huanjun Liu. (2022) An advanced soil organic carbon content prediction model via fused temporal-spatial-spectral (TSS) information based on machine learning and deep learning algorithms. Remote Sensing of Environment 280, pages 113166.
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Veerendra Satya Sylesh Peddinti, Venkata Ravibabu Mandla, Shashi Mesapam & Suresh Kancherla. (2021) Simulation of hyperspectral image with existing Sentinel and AVIRIS data using distance functions. Arabian Journal of Geosciences 14:17.
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Subir Paul & D. Nagesh Kumar. (2021) Transformation of Multispectral Data to Quasi-Hyperspectral Data Using Convolutional Neural Network Regression. IEEE Transactions on Geoscience and Remote Sensing 59:4, pages 3352-3368.
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Zehua Huang, Qi Chen, Qihao Chen, Xiuguo Liu & Hao He. (2019) A Novel Hyperspectral Image Simulation Method Based on Nonnegative Matrix Factorization. Remote Sensing 11:20, pages 2416.
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Xiaoping Wang, Fei Zhang, Hsiang-te Kung & Verner Carl Johnson. (2018) New methods for improving the remote sensing estimation of soil organic matter content (SOMC) in the Ebinur Lake Wetland National Nature Reserve (ELWNNR) in northwest China. Remote Sensing of Environment 218, pages 104-118.
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Nguyen Tien Hoang & Katsuaki Koike. (2018) Comparison of hyperspectral transformation accuracies of multispectral Landsat TM, ETM+, OLI and EO-1 ALI images for detecting minerals in a geothermal prospect area. ISPRS Journal of Photogrammetry and Remote Sensing 137, pages 15-28.
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Nguyen Tien Hoang & Katsuaki Koike. (2017) Transformation of Landsat imagery into pseudo-hyperspectral imagery by a multiple regression-based model with application to metal deposit-related minerals mapping. ISPRS Journal of Photogrammetry and Remote Sensing 133, pages 157-173.
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Nguyen Tien Hoang & Katsuaki Koike. Development of Bayesian-based transformation method of Landsat imagery into pseudo-hyperspectral imagery. Development of Bayesian-based transformation method of Landsat imagery into pseudo-hyperspectral imagery.
Mingquan Wu, Wenjiang Huang, Zheng Niu & Changyao Wang. (2015) Combining HJ CCD, GF-1 WFV and MODIS Data to Generate Daily High Spatial Resolution Synthetic Data for Environmental Process Monitoring. International Journal of Environmental Research and Public Health 12:8, pages 9920-9937.
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H. Croft, J.M. Chen, Y. Zhang, A. Simic, T.L. Noland, N. Nesbitt & J. Arabian. (2015) Evaluating leaf chlorophyll content prediction from multispectral remote sensing data within a physically-based modelling framework. ISPRS Journal of Photogrammetry and Remote Sensing 102, pages 85-95.
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Tomasz Berezowski, Jaroslaw Chormanski & Jonathan C-W Chan. (2012) Preliminary validation of a method for simulating hyperspectral bands from multispectral images. Preliminary validation of a method for simulating hyperspectral bands from multispectral images.
Bo Liu, Lifu Zhang, Xia Zhang, Bing Zhang & Qingxi Tong. (2009) Simulation of EO-1 Hyperion Data from ALI Multispectral Data Based on the Spectral Reconstruction Approach. Sensors 9:4, pages 3090-3108.
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