TY - GEN
T1 - Extraction of African urban and rural structural features using SAR sentinel-1 data
AU - Lopez, J. F.
AU - Shimoni, M.
AU - Grippa, T.
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/5/10
Y1 - 2017/5/10
N2 - This research assesses the use of SENTINEL-1 SAR data for the extraction of human settlements and the morphological analysis of African cities. Textural features from single polarization amplitude image and dual polarization decomposition products were extracted for this assessment and compared to urban morphological map. The results show that SENTINEL-1 textural features may be useful in the separation between different African types of cities while the dual polarization decomposition products are more useful for inner-urban analysis.
AB - This research assesses the use of SENTINEL-1 SAR data for the extraction of human settlements and the morphological analysis of African cities. Textural features from single polarization amplitude image and dual polarization decomposition products were extracted for this assessment and compared to urban morphological map. The results show that SENTINEL-1 textural features may be useful in the separation between different African types of cities while the dual polarization decomposition products are more useful for inner-urban analysis.
UR - http://www.scopus.com/inward/record.url?scp=85020180256&partnerID=8YFLogxK
U2 - 10.1109/JURSE.2017.7924568
DO - 10.1109/JURSE.2017.7924568
M3 - Conference contribution
AN - SCOPUS:85020180256
T3 - 2017 Joint Urban Remote Sensing Event, JURSE 2017
BT - 2017 Joint Urban Remote Sensing Event, JURSE 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 Joint Urban Remote Sensing Event, JURSE 2017
Y2 - 6 March 2017 through 8 March 2017
ER -