Evaluation of Structures and Methods for Resolution Determination of Remote Sensing Sensors
H. Meißner, M. Cramer, and R. Reulke. Image and Video Technology, page 59--69. Cham, Springer International Publishing, (2020)
Abstract
Effective image resolution is an important image quality factor for remote sensing sensors and significantly affects photogrammetric processing tool chains. Tie points, mandatory for forming the block geometry, fully rely on feature points (i.e. SIFT, SURF) and quality of these points however is significantly correlated to image resolution. Spatial resolution can be determined in different ways. Utilizing bar test charts (e.g. USAF51), slanted edges (ISO 12233) and Siemens-Stars are widely accepted techniques. The paper describes these approaches and compares all in one joint experiment. Moreover, Slanted-Edge and Siemens-Star method is evaluated using (close to) ideal images convolved with known parameters. It will be shown that both techniques deliver conclusive and expected results.
%0 Conference Paper
%1 10.1007/978-3-030-39770-8_5
%A Meißner, Henry
%A Cramer, Michael
%A Reulke, Ralf
%B Image and Video Technology
%C Cham
%D 2020
%E Dabrowski, Joel Janek
%E Rahman, Ashfaqur
%E Paul, Manoranjan
%I Springer International Publishing
%K journal review from:markusenglich
%P 59--69
%T Evaluation of Structures and Methods for Resolution Determination of Remote Sensing Sensors
%X Effective image resolution is an important image quality factor for remote sensing sensors and significantly affects photogrammetric processing tool chains. Tie points, mandatory for forming the block geometry, fully rely on feature points (i.e. SIFT, SURF) and quality of these points however is significantly correlated to image resolution. Spatial resolution can be determined in different ways. Utilizing bar test charts (e.g. USAF51), slanted edges (ISO 12233) and Siemens-Stars are widely accepted techniques. The paper describes these approaches and compares all in one joint experiment. Moreover, Slanted-Edge and Siemens-Star method is evaluated using (close to) ideal images convolved with known parameters. It will be shown that both techniques deliver conclusive and expected results.
%@ 978-3-030-39770-8
@inproceedings{10.1007/978-3-030-39770-8_5,
abstract = {Effective image resolution is an important image quality factor for remote sensing sensors and significantly affects photogrammetric processing tool chains. Tie points, mandatory for forming the block geometry, fully rely on feature points (i.e. SIFT, SURF) and quality of these points however is significantly correlated to image resolution. Spatial resolution can be determined in different ways. Utilizing bar test charts (e.g. USAF51), slanted edges (ISO 12233) and Siemens-Stars are widely accepted techniques. The paper describes these approaches and compares all in one joint experiment. Moreover, Slanted-Edge and Siemens-Star method is evaluated using (close to) ideal images convolved with known parameters. It will be shown that both techniques deliver conclusive and expected results.},
added-at = {2021-12-01T17:23:52.000+0100},
address = {Cham},
author = {Mei{\ss}ner, Henry and Cramer, Michael and Reulke, Ralf},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2cb7fbf728eb1b0feec65118928ff58f5/ifp},
booktitle = {Image and Video Technology},
editor = {Dabrowski, Joel Janek and Rahman, Ashfaqur and Paul, Manoranjan},
interhash = {e3b81a61e76ad3068fecdc855a69337d},
intrahash = {cb7fbf728eb1b0feec65118928ff58f5},
isbn = {978-3-030-39770-8},
keywords = {journal review from:markusenglich},
pages = {59--69},
publisher = {Springer International Publishing},
timestamp = {2021-12-01T16:23:52.000+0100},
title = {Evaluation of Structures and Methods for Resolution Determination of Remote Sensing Sensors},
year = 2020
}
