@proceedings {Miyazaki2012,
	title = {Automated Construction of Coverage Catalogues of ASTER Satellite Image for Urban Areas of the World},
	volume = {XXXIX},
	number = {B8},
	year = {2012},
	pages = {497{\textendash}500},
	abstract = {We developed an algorithm to determine a combination of satellite images according to observation extent and image quality. The algorithm was for testing necessity for completing coverage of the search extent. The tests excluded unnecessary images with low quality and preserve necessary images with good quality. The search conditions of the satellite images could be extended, indicating the catalogue could be constructed with specified periods required for time series analysis. We applied the method to a database of metadata of ASTER satellite images archived in GEO Grid of National Institute of Advanced Industrial Science and Technology (AIST), Japan. As indexes of populated places with geographical coordinates, we used a database of 3372 populated place of more than 0.1 million populations retrieved from GRUMP Settlement Points, a global gazetteer of cities, which has geographical names of populated places associated with geographical coordinates and population data. From the coordinates of populated places, 3372 extents were generated with radiuses of 30 km, a half of swath of ASTER satellite images. By merging extents overlapping each other, they were assembled into 2214 extents. As a result, we acquired combinations of good quality for 1244 extents, those of low quality for 96 extents, incomplete combinations for 611 extents. Further improvements would be expected by introducing pixel- based cloud assessment and pixel value correction over seasonal variations.},
	keywords = {ASTER, coverage catalogue, gazetteer, metadata database, urban area},
	author = {Miyazaki, Hiroyuki and Iwao, Koki and Shibasaki, Ryosuke}
}
@conference {44,
	title = {Automatic Mapping of Urban Area in High Resolution with ASTER satellite images},
	booktitle = {19th IIS Forum on Broad-Scale Collection and Application of Environment and Disaster Risk Information},
	year = {2010},
	month = {2010},
	address = {Tokyo, Japan},
	author = {Miyazaki, Hiroyuki and Shao, Xiaowei and Iwao, Koki and Shibasaki, Ryosuke}
}
@proceedings {Miyazaki2010,
	title = {Automatic Mapping of Urban Area in High Resolution with LLGC and Integration with Existing Urban Area Maps},
	year = {2010},
	pages = {1{\textendash}9},
	address = {Guimaraes, Portugal},
	abstract = {We present development of automated algorithm for mapping global urban area in high resolution using ASTER satellite images and coarse-resolution urban area maps. The algorithm consists of two steps: classifying pixels of ASTER satellite images into urban or non-urban by Learning with Global and Local Consistency (LLGC) technique; and integration with existing urban area maps using logistic regression. We implemented the algorithm and demonstrated it against 340 scenes of ASTER satellite images. LLGC trimmed up 500-m-resolution clusters of urban area into 15-m-resoluton clusters. However accuracy assessment on LLGC result showed 75\% user{\textquoteright}s accuracy, 41\% producer{\textquoteright}s accuracy, 94\% overall accuracy and 0.50 kappa coefficient, indicating LLGC had considerable misclassifications due to similarity in surface reflectance among non-vegetative land cover. To complement the misclassifications, we integrated LLGC result with existing urban area maps. Accuracy assessment on result of the integration showed 74\% user{\textquoteright}s accuracy, 43\% producer{\textquoteright}s accuracy, 94\% overall accuracy and 0.51 kappa coefficient, indicating that the results were more accurate than LLGC result and existing urban area maps. We concluded our method would improve global urban area map not only in terms of spatial resolution, but also in that of accuracy.},
	keywords = {ASTER, land cover classification, urban area mapping},
	author = {Miyazaki, Hiroyuki and Shao, Xiaowei and Iwao, Koki and Shibasaki, Ryosuke}
}
@proceedings {Miyazaki2009c,
	title = {Assessing Validity of Global Gazetteers as Ground Truth Data for Urban Mapping},
	year = {2009},
	pages = {TS17{\textendash}01},
	address = {Beijing},
	author = {Miyazaki, Hiroyuki and Iwao, Koki and Shibasaki, Ryosuke}
}
@conference {52,
	title = {Assessment of Usability of Gazetteer as Ground Truth Data},
	booktitle = {Japan Society of Photogrammetry and Remote Sensing Spring Meeting},
	year = {2009},
	month = {2009},
	pages = {I-1},
	address = {Yokohama, Japan},
	author = {Miyazaki, Hiroyuki and Iwao, Koki and Shibasaki, Ryosuke}
}
