Unified Satellite Image Fusion with Application to Urban Environmental Monitoring
Department of Geography and Resource Management and
Institute of Space and Earth Information Science
The Chinese University of Hong Kong, Hong Kong
The recent decades have witnessed the launch of a large number of orbiting satellite sensors with different spatial, temporal, spectral, and angular (STSA) characteristics, resulting in dramatic improvements in the ability to acquire images of the earth surface and a boom in remote sensing (RS) applications in environmental, ecological, and disaster monitoring. However, current RS technology is insufficient in monitoring a dense and dynamic urban environment with complex structures and changes that require high spatial detail, frequent coverage, fine spectral resolution, and multi-angle observation. This is largely due to the fact that there is no satellite sensor that can achieve simultaneously high STSA resolution. Unified satellite image fusion aims to circumvent this obstacle by achieving high resolution with respect to all the image properties for a virtual satellite sensor. The high STSA resolution imagery thus generated can greatly contribute to the exploration and improvement of existing satellite image resources for urban environmental applications by detecting more details in a more accurate manner. This presentation will introduce the methods and processes developed for unified satellite image fusion using sparse representation and dictionary learning. Comparisons with other relevant methods will also be covered. The proposed unified satellite image methods and algorithms can be applied to the areas that have benefited from the traditional RS technologies with an improved data availability and accuracy. Demonstrative applications will include the generation of high-resolution aerosol concentrations for monitoring the urban environment.
Dr. Bo Huang is a Professor with the Department of Geography and Resource Management, The Chinese University of Hong Kong, where he is also the Associate Director of Institute of Space and Earth Information Science and the Director of MSc Program in GeoInformation Science. Prior to this, he held faculty positions at University of Calgary (Geomatics Engineering), Canada and National University of Singapore (Civil Engineering). His research interests are broad, covering most aspects of Geographical Information Science (GIScience), specifically: satellite image fusion for environmental monitoring, spatial/spatio-temporal statistics for land cover/land use change modeling, spatial optimization for sustainable urban and land use planning, Intelligent Transportation Systems (ITS), and web/wireless GIS for location-based services. Dr. Huang has published extensively in the field of GIScience, including over 120 refereed international journal articles, and serves as the Asia-Pacific Editor of International Journal of Geographical Information Science (Taylor & Francis) and the Executive Editor of Annals of GIS (Taylor & Francis). Currently he continues to explore along the line of spatial intelligence, convinced that this paradigm is revolutionizing the way how geospatial data is harnessed in a more intelligent manner.