River segmentation using satellite image contextual information and Bayesian classifier
Satellite-based remote sensing imaging can provide continuous snapshots of the Earth’s surface over long periods. River extraction from remote sensing images is useful for the comprehensive study of dynamic changes of rivers over large areas. This paper presents a new method of extracting rivers by...
Main Authors: | Yousefi, P., Jalab, H.A., Ibrahim, R.W., Mohd Noor, N.F., Ayub, M.N., Gani, A. |
---|---|
Format: | Article |
Published: |
Maney Publishing
2016
|
Subjects: | |
Online Access: | http://dx.doi.org/10.1080/13682199.2016.1236067 http://dx.doi.org/10.1080/13682199.2016.1236067 |
Similar Items
-
On the multi-agent learning neural and Bayesian methods in skin detector and pornography classifier: an automated anti-pornography system
by: Zaidan , A. A., et al.
Published: (2014) -
Image skin segmentation based on multi-agent learning Bayesian and neural network
by: Aos Alaa, Zaidan, et al.
Published: (2014) -
Extracting features from online software reviews to aid requirements reuse
by: Bakar, N.H., et al.
Published: (2016) -
Stemming Hausa text: using affix-stripping rules and reference look-up
by: Bimba, A.T., et al.
Published: (2016) -
A protocol for secret key infusion from satellite transmissions
by: Wahiddin, Mohamed Ridza, et al.
Published: (2010)