Cloud/snow recognition for multispectral satellite imagery based on a multidimensional deep residual network-Reference-Cited by-同舟云学术

Cloud/snow recognition for multispectral satellite imagery based on a multidimensional deep residual network

Published:2018-08-23 Issue:1 Volume:40 Page:156-170
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Xia Min¹²,Liu Wan’an¹,Shi Bicheng¹,Weng Liguo²,Liu Jia²

Affiliation:

1. Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology, Nanjing University of Information Science and Technology, Nanjing, China

2. Jiangsu Key Laboratory of Big Data Analysis Technology, Nanjing University of Information Science and Technology, Nanjing, China

Funder

Natural Science Foundation of Jiangsu Province

National Natural Science Foundation of PR China

Six Talent Peaks Program of Jiangsu Province

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2018.1508917

Reference19 articles.

1. Snow/Cloud Discrimination with Multispectral Satellite Measurements

2. Remote sensing of snow – a review of available methods

3. Cloud Detection for High-Resolution Satellite Imagery Using Machine Learning and Multi-Feature Fusion

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