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Revisiting the effect of spatial resolution on information content based on classification results

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journal contribution
posted on 24.03.2021, 22:39 by MG Palacio, SB Ferrero, Alejandro Frery
© 2019, © 2019 Informa UK Limited, trading as Taylor & Francis Group. Polarimetric Synthetic Aperture Radar (PolSAR) images are an important source of information. Speckle noise gives SAR images a granular appearance that makes interpretation and analysis hard tasks. A major issue is the assessment of information content in these kinds of images, and how it is affected by usual processing techniques. Previous works have resulted in various approaches for quantifying image information content. In this paper, we study this problem from the classification accuracy viewpoint, focusing on the filtering and the classification stages. Thus, through classified images, we verify how changing the properties of the input data affects their quality. The input is an actual PolSAR image, the control parameters are (i) the filter (Local Mean, LM, or Model-Based PolSAR, MBPolSAR) and the size of their support, and (ii) the classification method (Maximum Likelihood, ML, or Support Vector Machine, SVM), and the output is the precision of the classification algorithm applied to the filtered data. To expand the conclusions, this study deals not only with Classification Accuracy but also with Kappa and Overall Accuracy as measures of map precision. Experiments were conducted on two airborne PolSAR images. Differently from what was observed in previous works, almost all quality measures are good and increase with degradation, i.e. the filtering algorithms that we used always improve the classification results at least up to supports of size 7 × 7.

History

Preferred citation

Palacio, M. G., Ferrero, S. B. & Frery, A. C. (2019). Revisiting the effect of spatial resolution on information content based on classification results. International Journal of Remote Sensing, 40(12), 4489-4505. https://doi.org/10.1080/01431161.2019.1569278

Journal title

International Journal of Remote Sensing

Volume

40

Issue

12

Publication date

18/06/2019

Pagination

4489-4505

Publisher

Informa UK Limited

Publication status

Published

Online publication date

25/01/2019

ISSN

0143-1161

eISSN

1366-5901

Language

en