Integration of Bayesian regulation back-propagation neural network and particle swarm optimization for enhancing sub-pixel mapping of flood inundation in river basins-Reference-Cited by-同舟云学术

Integration of Bayesian regulation back-propagation neural network and particle swarm optimization for enhancing sub-pixel mapping of flood inundation in river basins

Published:2016-04-25 Issue:7 Volume:7 Page:631-640
ISSN:2150-704X
Container-title:Remote Sensing Letters
language:en
Short-container-title:Remote Sensing Letters

Author:

Li Linyi,Chen Yun,Xu Tingbao,Huang Chang,Liu Rui,Shi Kaifang

Funder

the National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Earth and Planetary Sciences (miscellaneous)

Link

http://www.tandfonline.com/doi/pdf/10.1080/2150704X.2016.1177238

Reference17 articles.

1. Sub-pixel Target Mapping from Soft-classified, Remotely Sensed Imagery

2. An Evaluation of MODIS Daily and 8-day Composite Products for Floodplain and Wetland Inundation Mapping

3. A spatial assessment framework for evaluating flood risk under extreme climates

4. Estimate of flood inundation and retention on wetlands using remote sensing and GIS

5. Status of land cover classification accuracy assessment

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