TY - GEN
T1 - Quality-based building-texture selection from different sensors
AU - Iwaszczuk, Dorota
AU - Hoegner, Ludwig
AU - Stilla, Uwe
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/6/9
Y1 - 2015/6/9
N2 - This contribution is focused on the selection of building textures extracted from thermal infrared (TIR) image sequences acquired both from terrestrial and aerial platforms by introducing a quality assessment. Extracted quality features are completeness of the texture, projection accuracy, viewing angle, and geometric resolution. The calculation of the quality features is discussed and results are presented. The proposed method allows to compare the quality of different recordings from different positions and even sensors to obtain the most complete and accurate buildings textures of high geometric resolution.
AB - This contribution is focused on the selection of building textures extracted from thermal infrared (TIR) image sequences acquired both from terrestrial and aerial platforms by introducing a quality assessment. Extracted quality features are completeness of the texture, projection accuracy, viewing angle, and geometric resolution. The calculation of the quality features is discussed and results are presented. The proposed method allows to compare the quality of different recordings from different positions and even sensors to obtain the most complete and accurate buildings textures of high geometric resolution.
UR - http://www.scopus.com/inward/record.url?scp=84938833662&partnerID=8YFLogxK
U2 - 10.1109/JURSE.2015.7120352
DO - 10.1109/JURSE.2015.7120352
M3 - Conference contribution
AN - SCOPUS:84938833662
T3 - 2015 Joint Urban Remote Sensing Event, JURSE 2015
BT - 2015 Joint Urban Remote Sensing Event, JURSE 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2015 Joint Urban Remote Sensing Event, JURSE 2015
Y2 - 30 March 2015 through 1 April 2015
ER -