DocumentCode
2203103
Title
Influence of the nature and number of ground control points to the quality of remote sensing geometric corrections
Author
More, G. ; Pons, Xavier
Author_Institution
CREAF, Cerdanyola del Vallès, Spain
fYear
2012
fDate
22-27 July 2012
Firstpage
2356
Lastpage
2359
Abstract
Georeferencing satellite images is an essential procedure to carry out most remote sensing applications. The quality of this process will affect all the ulterior procedures and products. Independent test ground control points (GCPs) are required to assess the quality of the correction. However, a representative number is hardly obtained when they are manually located. This work studies the effect of the number of GCPs in the geometric correction quality when they are manually located. The methodology has been applied to Landsat TM images in a region with complex relief (heights ranging from 0 to 3000+ m). The work presents a spatial representation of the error and discusses its role in the visualisation of the quality. Moreover, we critically discuss the usage of indicators as the RMS error without considering the number of GCPs or the method used in their placement in the realistic assessment of the geometric quality of the imagery. Indeed, it is shown that, for the studied scenes, a minimum of 25 GCPs is needed to achieve a test RMS smaller than a pixel and that not using independent GCPs leads to unrealistic quality indicators. Moreover, manual placement of GCPs gives clearly worst results than automatic procedures.
Keywords
geophysical image processing; geophysical techniques; remote sensing; Landsat TM images; RMS error; automatic procedures; error spatial representation; georeferencing satellite images; ground control points; image geometric quality; quality visualisation; realistic assessment method; remote sensing geometric correction quality; unrealistic quality indicators; Computational modeling; Earth; Fitting; Remote sensing; Satellites; Vectors; Visualization; Landsat; RMS; geometric accuracy; number of Ground Control Points;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location
Munich
ISSN
2153-6996
Print_ISBN
978-1-4673-1160-1
Electronic_ISBN
2153-6996
Type
conf
DOI
10.1109/IGARSS.2012.6351021
Filename
6351021
Link To Document