Research on water body extraction based on a joint probability model of convolution neural network and spectral information-Reference-Cited by-同舟云学术

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Research on water body extraction based on a joint probability model of convolution neural network and spectral information

Published:2022-09-30 Issue: Volume: Page:
ISSN:
Container-title:Earth Observing Systems XXVII
language:
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Author:

Hu Sihan,Gu Lingjia,Jiang Mingda

Publisher

SPIE

Reference21 articles.

1. Water observations from space: Mapping surface water from 25 years of Landsat imagery across Australia

2. Multi-scale context extractor network for water-body extraction from high-resolution optical remotely sensed images;Jian;International Journal of Applied Earth Observation and Geoinformation,2021

3. Mapping wetlands and riparian areas using Landsat ETM+ imagery and decision-tree-based models

4. Automatic detection and delineation of surface water bodies in airborne hyperspectral data;Bochow,2012

5. High-precise water extraction based on spectral-spatial coupled remote sensing information;Luo,2010

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A NOVEL HYBRID MODEL BASED ON CNN AND MULTI-SCALE TRANSFORMER FOR EXTRACTING WATER BODIES FROM HIGH RESOLUTION REMOTE SENSING IMAGES;ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences;2023-12-05

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