@inproceedings{d22a7345752e49a883b4609ab349ab7b,
title = "Object-based classification and building extraction by integrating airborne LiDAR data and aerial image",
abstract = "It is generally difficult to classify an object type having different colors into the same class using only optical data such as a satellite or aerial image. This paper proposes a method that solves this problem by combining LiDAR data and an aerial image. The method extracts building pixels from LiDAR data and then identifies building objects on the aerial image by overlaying the LiDAR result to a segmented aerial image through the definite rule. This process plays a role in transforming building objects of LiDAR data to ones of the aerial image.",
author = "Yongmin Kim and Youkyung Han and Junho Yeom and Dongyeob Han and Yongil Kim",
year = "2012",
doi = "10.1109/IGARSS.2012.6352673",
language = "English",
series = "International Geoscience and Remote Sensing Symposium (IGARSS)",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "6200--6202",
booktitle = "IGARSS 2012 - 2012 IEEE International Geoscience and Remote Sensing Symposium",
note = "32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012 ; Conference date: 22-07-2012 Through 27-07-2012",
}