Cloud Detection in High-Resolution Remote Sensing Images Using Multi-features of Ground Objects-Reference-Cited by-同舟云学术

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Cloud Detection in High-Resolution Remote Sensing Images Using Multi-features of Ground Objects

Published:2019-08-12 Issue:2 Volume:3 Page:
ISSN:2509-8810
Container-title:Journal of Geovisualization and Spatial Analysis
language:en
Short-container-title:J geovis spat anal

Author:

Zhang Jing^ORCID,Zhou Qin,Shen Xiao,Li Yunsong

Funder

National Nature Science Foundation of China under Grants

Yangtse Rive Scholar Bonus Schemes and Ten Thousand Talent Program

Publisher

Springer Science and Business Media LLC

Subject

General Medicine

Link

http://link.springer.com/content/pdf/10.1007/s41651-019-0037-y.pdf

Reference23 articles.

1. An Z, Shi Z (2017) Scene learning for cloud detection on remote-sensing images. IEEE J Sel Top Appl 8(8):4206–4222

2. Comaniciu D, Meer P (2002) Mean shift: a robust approach toward feature space analysis. IEEE Trans Pattern Anal 24(5):603–606

3. Filonchyk M, Yan H, Zhang Z et al (2019) Combined use of satellite and surface observations to study aerosol optical depth in different regions of China. Sci Rep 9(1):2019

4. Frey RA, Ackerman SA, Liu Y et al (2008) Cloud detection with MODIS. Part I: Improvements in the MODIS cloud mask for collection 5. J Atmos Ocean Technol 25(7):1057–1072

5. Gastal ES, Oliveira M (2011) Domain transform for edge-aware image and video processing. ACM Trans Graph 30(2011):69

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