Capability for Data Fusion by Airborne Sensing
نویسنده
چکیده
The recent advances of GPS/IMU have made it possible to perform the multisensor, multi-resolution and multi-spectral data fusion utilizing GIS technique. In the present study we utilized the Airborne Digital Sensor (ADS40) image and Digital Surface Model (DSM) by pixel matching techniques and studied the data fusion capability with LIDAR data from Airborne Laser Scanner (ALS40) and filtered Digital Terrain Model (DTM), Hyperspectral data from the Airborne Imaging Spectroradiometer for Applications (AISA) in the visible and thermal information by Thermal Airborne Broadband Imager (TABI). The study compared pixel matching of DSM by LIDAR data and reported the compiled applications. On the other hand we observed the multispectral characteristics of the features by multi-sensing approach. The capability to extract features and automation in 3D Modelling has been reported.
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تاریخ انتشار 2004