Cloud removal using efficient cloud detection and removal algorithm for high-resolution satellite imagery Online publication date: Wed, 01-Apr-2015
by E. Menaka; S. Suresh Kumar; M. Bharathi
International Journal of Computer Applications in Technology (IJCAT), Vol. 51, No. 1, 2015
Abstract: This paper describes a technique - efficient cloud detection and removal (ECDR) algorithm based on remote sensing information. It is obvious that cloud masking has been a challenging risk in receiving the information from the satellite sensor images. For instance, in-paint and multitemporal averaging method, which are existing approaches implemented against the cloud masking but still the requirement has been found inadequate as it has partially contributed to its removal. Hence, the proposed ECDR algorithm paves the way to find accurate information. The cloud-obscured area reconstructed by the ECDR algorithm involves two steps: detecting the cloudy region by pixels values and reconstruction of cloudy regions. For cloud masking, the algorithm calculates the percentage of variance in earlier remote sensing information and, based on the percentage, the cloud pixel value is replaced. Thus, the found ECDR algorithm accuracy is much better than the existing algorithms for deducing information.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Computer Applications in Technology (IJCAT):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook