TOPOGRAPHIC LOCAL ROUGHNESS EXTRACTION AND CALIBRATION OVER MARTIAN SURFACE BY VERY HIGH RESOLUTION STEREO ANALYSIS AND MULTI SENSOR DATA FUSION
The planetary topography has been the main focus of the in-orbital remote sensing. In spite of the recent development in active and passive sensing technologies to reconstruct three dimensional planetary topography, the resolution limit of range measurement is theoretically and practically obvious...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2012-08-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXVIII-4-W25/131/2011/isprsarchives-XXXVIII-4-W25-131-2011.pdf |
| Summary: | The planetary topography has been the main focus of the in-orbital remote sensing. In spite of the recent development in active and
passive sensing technologies to reconstruct three dimensional planetary topography, the resolution limit of range measurement is
theoretically and practically obvious. Therefore, the extraction of inner topographical height variation within a measurement spot is
very challengeable and beneficial topic for the many application fields such as the identification of landform, Aeolian process
analysis and the risk assessment of planetary lander. In this study we tried to extract the topographic height variation over martian
surface so called local roughness with different approaches. One method is the employment of laser beam broadening effect and the
other is the multi angle optical imaging. Especially, in both cases, the precise pre processing employing high accuracy DTM (Digital
Terrain Model) were introduced to minimise the possible errors. Since a processing routine to extract very high resolution DTMs up
to 0.5–4m grid-spacing from HiRISE (High Resolution Imaging Science Experiment) and 20–10m DTM from CTX (Context
Camera) stereo pair has been developed, it is now possible to calibrate the local roughness compared with the calculated height
variation from very high resolution topographic products. Three testing areas were chosen and processed to extract local roughness
with the co-registered multi sensor data sets. Even though, the extracted local roughness products are still showing the strong
correlation with the topographic slopes, we demonstrated the potentials of the height variations extraction and calibration methods. |
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| ISSN: | 1682-1750 2194-9034 |