The resolution of satellite sensors is recently increased with offering polynomial coefficients instead of satellite navigation data. The high resolution satellite images have become more popular in various fields. Focusing on a sensor modeling of IKONOS imagery(1 meter ground resolution) using RPCs, this research evaluates the accuracy of objects on the imagery got from the sensor modeling. Moreover, the analysis of geo-spatial data is assessed by the fusion of high resolution panchromatic and low resolution multispectral images.
Finally, preliminary investigation and data analysis for replotting plans are done by based on the GIS data generated from the fusion images. There are following results.
In this research, we analyzed sensor modeling techniques for IKONOS spaceborne sensors and evaluated the accuracy of digital elevation model generated by sensor modeling technique. And we evaluated a possibility of geospatial information analysis using sensor modeling and imagery fusion technique for IKONOS panchromatic and multispectral imagery. The accuracy of 3-dimensional positioning for the RFM model with compensation of IKONOS were 1.3, 1.6, 4.0 pixels, respectively.
To realize the imagery registration and fusion techniques the author could divide the largest area into cultivated land, road, gold training site and drive training site.
In results of integrating high resolution panchromatic imagery and multispectral imagery, we could interpret geospatial information for imagery with multispectral and high resolution. The possible conjugation of fusion images to apply for the analysis of geospatial data is investigated through the comparison statistical with visual interpretation.
GIS data obtained from fusion images is investigated for the preliminary data of replotting plans, urban development zoning, and development planning