Title :
Updating terrain information in topographic databases using radar aircraft images part. III. A change detection approach
Author :
Hussin, Yousif Ali ; Shantha, K. D Parakum
Author_Institution :
ITC, Enschede, Netherlands
Abstract :
The main objective of this research was to investigate the use of radar images for updating terrain information in topographic databases. The strategy was to utilize change detection image analysis techniques in addition to conventional methods to detect topographic features in radar images, with special emphasis on linear features (e.g. roads). The results show that main and secondary roads can be visually detected using 7×11 meter (in the range and azimuth) spatial resolution HH-polarized L-band aircraft radar data. Automatic feature detection (conventional and model-based) procedures can be employed for the detection of main roads. However, spatial resolution is important since it was not possible to identify tracks and unpaved roads with low resolution. Hence, for the road feature extraction, a very high resolution image must be used. The experimental results shows positive indications for updating main and secondary roads in road network at 1:25,000 scale
Keywords :
airborne radar; cartography; feature extraction; geographic information systems; geophysical signal processing; geophysical techniques; radar applications; radar imaging; radar polarimetry; remote sensing; remote sensing by radar; topography (Earth); L-band; automatic feature detection; cartography; change detection; feature extraction; geophysical measurement technique; image analysis; image processing; land surface; linear feature; map revision update updating; radar aircraft image; radar polarimetry; remote sensing; road; terrain information; topographic database; topographic feature; Azimuth; Computer vision; Image analysis; Image databases; Radar detection; Radar imaging; Roads; Spatial databases; Spatial resolution; Visual databases;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1995. IGARSS '95. 'Quantitative Remote Sensing for Science and Applications', International
Conference_Location :
Firenze
Print_ISBN :
0-7803-2567-2
DOI :
10.1109/IGARSS.1995.520269