TY - GEN
T1 - Land cover classification from ICESat/GLAS waveform data
AU - Zhao, Qunchong
AU - Li, Xiaolu
AU - Xu, Lijun
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/1
Y1 - 2017/7/1
N2 - Lidar waveform attributes extracted from the Ice, Cloud, and land Elevation Satellite/Geoscience Laser Altimeter System (ICESat/GLAS) were used to distinguish land cover types for GLAS footprints over Jakobshavn Glacier, West Greenland. The waveform derived attributes (reflectivity and kurtosis) and self-computed waveform attributes (waveform width and waveform beginning location) were extracted as features, while true labels were generated from the LANDSAT 7 image as ground truth through gap-filling, three-band combination and supervised maximum likelihood classification. A Gaussian Process (GP) classifier was used to train classification model for classifying the land cover types into three different categories: snow, bare bedrock and sea water. Over this test site, the algorithm achieved an overall accuracy (OA) of 92.22%.
AB - Lidar waveform attributes extracted from the Ice, Cloud, and land Elevation Satellite/Geoscience Laser Altimeter System (ICESat/GLAS) were used to distinguish land cover types for GLAS footprints over Jakobshavn Glacier, West Greenland. The waveform derived attributes (reflectivity and kurtosis) and self-computed waveform attributes (waveform width and waveform beginning location) were extracted as features, while true labels were generated from the LANDSAT 7 image as ground truth through gap-filling, three-band combination and supervised maximum likelihood classification. A Gaussian Process (GP) classifier was used to train classification model for classifying the land cover types into three different categories: snow, bare bedrock and sea water. Over this test site, the algorithm achieved an overall accuracy (OA) of 92.22%.
KW - Gaussian process
KW - ICESat/GLAS
KW - Land cover classification
KW - Supervised maximum likelihood classification
UR - https://www.scopus.com/pages/publications/85049395688
U2 - 10.1109/IST.2017.8261451
DO - 10.1109/IST.2017.8261451
M3 - 会议稿件
AN - SCOPUS:85049395688
T3 - IST 2017 - IEEE International Conference on Imaging Systems and Techniques, Proceedings
SP - 1
EP - 6
BT - IST 2017 - IEEE International Conference on Imaging Systems and Techniques, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 IEEE International Conference on Imaging Systems and Techniques, IST 2017
Y2 - 18 October 2017 through 20 October 2017
ER -