Automatic Detection Algorithms of Oil Spill in Radar Images by Marghany Maged;

Author:Marghany, Maged;
Language: eng
Format: epub
Publisher: Taylor & Francis Group
Published: 2020-07-15T00:00:00+00:00

(8.28)

To the state

(8.29)

and since the environment states are different, this is functionally equivalent to just having either ψoil as an index to an oil spill or ψLook–alikss as an index to look-alikes with some probability, but not a superposition of the two. It might be the credulous belief occurring between the oil spill and Bragg waves or look-alikes and Bragg waves.

9

Texture and Quantum Entropy Algorithms for Oil Spill Detection in Synthetic Aperture Radar Images

ABSTRACT: This chapter compiles conventional texture algorithm and advanced entropy algorithm for automatic detection of the oil spill. The conventional texture algorithms are based on contrast, homogeneity, entropy and angular second-moment algorithms. The advanced algorithm of entropy is based on quantum entropy. It is shown that the conventional texture algorithm based on the co-occurrence algorithm based on Entropy has a higher performance than contrast, homogeneity and angular second moment. However, the quantum entropy delivers better automatic detection than entropy.

Download

Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.