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Remote Sens. 2017, 9(1), 37; doi:10.3390/rs9010037

Identification of Statistically Homogeneous Pixels Based on One-Sample Test

Lyles School of Civil Engineering, Purdue University, West Lafayette, IN 47907, USA
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Academic Editors: Xiaofeng Li and Prasad S. Thenkabail
Received: 21 October 2016 / Revised: 26 December 2016 / Accepted: 29 December 2016 / Published: 4 January 2017
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Abstract

Statistically homogeneous pixels (SHP) play a crucial role in synthetic aperture radar (SAR) analysis. In past studies, various two-sample tests were applied on multitemporal SAR data stacks under the assumption of having stationary backscattering properties over time. In this letter, we propose the Robust T-test (TR) to improve the effectiveness of test operation. The TR test reduces the impact of temporal variabilities and outliers, thus helping to identify SHP with assurances of similar temporal behaviors. This method includes three steps: (1) signal suppression; (2) outlier removal; and (3) one-sample test. In the experiments, we apply the TR test on both simulated and real data. Different stack sizes, types of distributions, and hypothesis tests are compared. Results of both experiments signify that the TR test outperforms conventional approaches and provides reliable SHP for SAR image analysis. View Full-Text
Keywords: statistically homogeneous pixels; outlier removal; one-sample test statistically homogeneous pixels; outlier removal; one-sample test
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Lin, K.-F.; Perissin, D. Identification of Statistically Homogeneous Pixels Based on One-Sample Test. Remote Sens. 2017, 9, 37.

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