@article {32,
	title = {An Automated Method for Global Urban Area Mapping by Integrating ASTER Satellite Images and GIS Data},
	journal = {Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of},
	volume = {6},
	year = {2013},
	month = {30 November 2012},
	chapter = {1004-1019},
	abstract = {We present an automated classification method for global urban area mapping by integrating satellite images taken by Visible and Near-Infrared Radiometer of Advanced Spaceborne Thermal Emission and Reflection radiometer (ASTER/VNIR) and GIS data derived from existing urban area maps. The method consists of two steps. First, we extracted urban areas from ASTER/VNIR satellite images by using an iterative machine-learning classification method known as Learning with Local and Global Consistency (LLGC). This method is capable of automatically performing classification with a noisy training dataset, in our case, low-resolution urban maps. Therefore, we were able to perform supervised classification of ASTER/VNIR images without using labor-intensive visual interpretation. Second, we integrated the LLGC confidence map with other maps by logistic regression. The logistic regression complemented misclassifications in the LLGC map and provided useful information for further improvement of the model. In an experiment including 194 scenes of ASTER/VNIR images, the integrated maps were developed at a resolution of 15 m resolution, which is much finer than existing maps with resolutions of 300 to 1000 m. The maps achieved an overall accuracy of 90.0\% and a kappa coefficient of 0.565, both of which are higher than or almost equal to the values for major existing global urban area maps.},
	keywords = {ASTER/VNIR, Learning with Local and Global Consistency, logistic regression, urban area mapping},
	issn = {1939-1404},
	doi = {10.1109/JSTARS.2012.2226563},
	author = {Miyazaki, H and Shao, X. and Iwao, K. and Shibasaki, R.}
}
@proceedings {Oba2012,
	title = {Activities of the Studnt Forum of the Geoinformation Forum Japan},
	volume = {XXXIX},
	number = {September},
	year = {2012},
	pages = {153{\textendash}154},
	abstract = {This reports a history and future prospects of the activities by the Student Forum of the Geoinformation Forum Japan. For growths of academic fields, active communications among students and young scientists are indispensable. Several academic communities in geoinformation fields are established by youths and play important roles of building networks over schools and institutes. The networks are expected to be innovative cooperation after the youths achieve their professions. Although academic communities are getting fixed growth particularly in Japan, youths had gotten little opportunities to make contacts with youths themselves. To promote gotten youth activities among geoinformation fields, in 1998, we started a series of programs that named the Student Forum of the Geoinformation Forum Japan involving students and young scientists within the annual conferences, Geoinformation Forum Japan. The programs have provided opportunities to do presentation their studies by posters, some events, and motivations to create networks among students and young scientists. From 2009, some members of our activities set additional conference in west area of Japan. Thus our activities are spread within Japan. As a result of these achievements, the number of youth dedicating to the programs keeps growing. From 2009, it{\textquoteright}s getting international gradually, however, almost all the participants are still Japanese. To keep and expand the network, we are planning to make some nodes with some Asian youth organizations in the field of geoinformation. This paper is concluded with proposals and future prospects on the Student Forum of the Geoinformation Forum Japan.},
	keywords = {academic activities, geoinformation forum, japan, student forum, youth network},
	author = {Oba, A and Miyazaki, H}
}
