A neural networks based method for suspended sediment concentration retrieval from GF-5 hyperspectral images

Yi-Ming LIU; Lei ZHANG; Mei ZHOU; Jian LIANG; Yan WANG; Li SUN; Qing-Li LI

doi:10.11972/j.issn.1001-9014.2022.01.029

Journal of Infrared and Millimeter Waves, Volume. 41, Issue 1, 2021015(2022)

A neural networks based method for suspended sediment concentration retrieval from GF-5 hyperspectral images

Yi-Ming LIU¹, Lei ZHANG², Mei ZHOU^1,3,4, Jian LIANG⁵, Yan WANG¹, Li SUN^1,3, and Qing-Li LI^1,3,4、*

Author Affiliations

¹Shanghai Key Laboratory of Multidimensional Information Processing，East China Normal University，Shanghai 200241，China

²Beijing Tracking and communication Technology Institute，Beijing 100094，China

³Engineering Center of SHMEC for Space Information and GNSS，Shanghai 200241，China

⁴Engineering Research Center of Nanophotonics & Advanced Instrument，Ministry of Education，East China Normal University，Shanghai 200241，China

⁵Nantong Academy of Intelligent Sensing，Nantong 226000，China

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References(39)

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Yi-Ming LIU, Lei ZHANG, Mei ZHOU, Jian LIANG, Yan WANG, Li SUN, Qing-Li LI. A neural networks based method for suspended sediment concentration retrieval from GF-5 hyperspectral images[J]. Journal of Infrared and Millimeter Waves, 2022, 41(1): 2021015

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Paper Information

Category: Research Articles

Received: Jan. 18, 2021

Accepted: --

Published Online: Apr. 18, 2022

The Author Email: Qing-Li LI (qlli@cs.ecnu.edu.cn)

DOI:10.11972/j.issn.1001-9014.2022.01.029

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