CVFeb 5, 2014
A review over the applicability of image entropy in analyses of remote sensing datasets
arXiv:1405.6133v16 citations
Originality Synthesis-oriented
AI Analysis
This is an incremental review for remote sensing researchers, focusing on optimizing entropy-based methods.
The paper reviewed the suitability of different entropy variations for specific remote sensing operations, motivated by the availability of wide entropy variations in such datasets.
Entropy is the measure of uncertainty in any data and is adopted for maximisation of mutual information in many remote sensing operations. The availability of wide entropy variations motivated us for an investigation over the suitability preference of these versions to specific operations.