TY - GEN
T1 - Contribution of nDSM derived from VHR stereo imagery to urban land-cover mapping in Sub-Saharan Africa
AU - Vanhuysse, Sabine
AU - Grippa, Tais
AU - Lennert, Moritz
AU - Wolff, Eleonore
AU - Idrissa, Mahamadou
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/5/10
Y1 - 2017/5/10
N2 - Mapping the urban land cover from VHR optical imagery remains a challenging task, more particularly in cities that present complex landscapes and patterns. In this study, we assessed the contribution of height data derived from WorldView-3 stereo imagery for mapping the land cover of Sub-Saharan African cities. Our case study is located in Ouagadougou, Burkina Faso. An OBIA approach was implemented using an open-source semi-automated processing chain. The use of the nDSM as input to the segmentation and/or to the classification in addition to the four VNIR WorldView-3 optical bands was evaluated. The quantitative and qualitative analysis of the results indicate an improvement for a number of classes, among which the class 'Buildings' that is of particular interest in many applications. Visually, this improvement is more noticeable in planned settlements and industrial areas than in unplanned settlements.
AB - Mapping the urban land cover from VHR optical imagery remains a challenging task, more particularly in cities that present complex landscapes and patterns. In this study, we assessed the contribution of height data derived from WorldView-3 stereo imagery for mapping the land cover of Sub-Saharan African cities. Our case study is located in Ouagadougou, Burkina Faso. An OBIA approach was implemented using an open-source semi-automated processing chain. The use of the nDSM as input to the segmentation and/or to the classification in addition to the four VNIR WorldView-3 optical bands was evaluated. The quantitative and qualitative analysis of the results indicate an improvement for a number of classes, among which the class 'Buildings' that is of particular interest in many applications. Visually, this improvement is more noticeable in planned settlements and industrial areas than in unplanned settlements.
UR - http://www.scopus.com/inward/record.url?scp=85020213497&partnerID=8YFLogxK
U2 - 10.1109/JURSE.2017.7924570
DO - 10.1109/JURSE.2017.7924570
M3 - Conference contribution
AN - SCOPUS:85020213497
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 -