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Optimal Retrieval Algorithms for Polarimetric Images

Polarimetric imagery is now becoming increasingly available; and as with other forms of SAR imagery, there are substantial gains to be made by using optimised retrieval algorithms.

A) Test Data

1. We illustrate this first using simulated data. Figure 1 shows a test pattern containing seven classes representing ground truth. We next simulate complex polarised images (HH, HV, VV) using typical polarisation properties for agricultural land.

The aim of the study is to classify this simulated data into the original seven classes using a variety of filter methods and polarisation measures.

Simulated ground truth image
Fig. 1
 
 

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