Quality Assessment of DEM Generated from SAR Radargrammetry Based on Cross-Correlation and Spatial Resolution Setting

Autor:	Rachmat Maulana, Dodi Sudiana, Shadiq Ali, Rahmat Arief, Aniati Murni Arymurthy, Andie Setiyoko
Rok vydání:	2019
Předmět:	Generation process History Cross-correlation Quality assessment Computer science Process (computing) Image resolution Computer Science Applications Education Remote sensing
Zdroj:	Journal of Physics: Conference Series. 1201:012027
ISSN:	1742-6596 1742-6588
DOI:	10.1088/1742-6596/1201/1/012027
Popis:	DEM as a model of earth’s surface model plays an important role in the environmental analysis. The most common recent technology in producing DEM is SAR. Even though it has advantages compared to optical approach, DEM generated from SAR still has issues regarding process setting regarding cross-correlation and spatial resolution determination. Both aspects will affect the volume of output data and computational effort. This research project is aimed to analyze the effects of cross-correlation and spatial resolution determination in DEM generation process to its accuracy. Several experiment scenarios of cross-correlation and spatial resolution setting had been applied to TerraSAR-X data. Overall output is shown that determination of cross-correlation threshold and spatial resolution in processing stages will have a significant effect on the accuracy of DEM generated. Gaps of data often occur in several sets of both aspects.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::fb11900639e39dc6056e29706c9b5f32 https://doi.org/10.1088/1742-6596/1201/1/012027 Zobrazit plný text záznamu