Preprint Article Version 1 This version is not peer-reviewed

A Study on Optimal D-InSAR Filtering Technique According to Landform Relief

Version 1 : Received: 24 March 2017 / Approved: 24 March 2017 / Online: 24 March 2017 (11:02:00 CET)

How to cite: Minkyo, Y.; Hongsic, Y.; Kwangbae, K.; Hanbual, K.; Woneung, L. A Study on Optimal D-InSAR Filtering Technique According to Landform Relief. Preprints 2017, 2017030188 (doi: 10.20944/preprints201703.0188.v1). Minkyo, Y.; Hongsic, Y.; Kwangbae, K.; Hanbual, K.; Woneung, L. A Study on Optimal D-InSAR Filtering Technique According to Landform Relief. Preprints 2017, 2017030188 (doi: 10.20944/preprints201703.0188.v1).

Abstract

The InSAR technique measures the displacement of an indicator using SAR image interference. The technique of interfering two SAR images among InSAR techniques is called Differential InSAR (D-InSAR). In the process of D-InSAR, the filtering technique is used in the Unwrapped Mask, usually using the GoldStein method. However, since the Goldstein method removes the noise on the path, it is difficult to derive the displacement value in the agricultural area where the relative coherence is low. In Korea, more than 50% of the whole country consists of mountainous regions and agricultural regions, so it is difficult to use the Goldstein technique polysynthetically. In this study, we set the test-bed for the urban area and the agricultural area based on Coherence, and introduce Goldstein and Boxcar Filter, one of the Goldstein and LSM techniques. Through this process, we want to draw the conclusion which is displacement values ​​in the agricultural area.

Subject Areas

D-InSAR; Coherence; Goldstein; Boxcar-filter

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