Abstract
PS-InSAR time series yield large volumes of data points, observed during many epochs. While traditional processing algorithms use a single parameterization for the behavior of all points, in reality this behavior will differ significantly between points and over time. It is a challenge to find the optimal parameterization for this behavior, and to assess the quality of the measurements per point and per epoch. Here we propose a post-processing method to improve the model estimation of PS-InSAR phase time series. The method combines machine learning (ML) algorithms and hypothesis testing (HT) into the ML/HT method efficiently leading to significant improvements in data interpretation, parameterization, as well as the quality of the estimated parameters. Moreover we show that we can find structure in the data regardless of spatial location and temporal complexity. In contrast to conventional assumptions that nearby points behave in the same way, with unchanged characteristics over time, a method is developed that takes individual behavior into account. Demonstrating that we can move from spatial and temporal analysis tools to semantic-based analysis.
Original language | English |
---|---|
Title of host publication | 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings |
Place of Publication | Valencia |
Publisher | IEEE |
Pages | 4427-4430 |
Number of pages | 4 |
ISBN (Electronic) | 9781538671504 |
DOIs | |
Publication status | Published - 31 Oct 2018 |
Externally published | Yes |
Event | 38th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018: Observing, Understanding and Forcasting the Dynamics of Our Planet - Feria Valencia Convention & Exhibition Center, Valencia, Spain Duration: 22 Jul 2018 → 27 Jul 2018 Conference number: 38 https://www.igarss2018.org/ |
Publication series
Name | International Geoscience and Remote Sensing Symposium (IGARSS) |
---|---|
Volume | 2018-July |
Conference
Conference | 38th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 |
---|---|
Abbreviated title | 2018 |
Country/Territory | Spain |
City | Valencia |
Period | 22/07/18 → 27/07/18 |
Internet address |
Keywords
- Hypothesis testing
- InSAR
- Machine learning
- Stochastics