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Mars exploration rovers entry, descent, and landing trajectory analysis (Document No: 20080013365)
| Content Provider | NASA Technical Reports Server (NTRS) |
|---|---|
| Author | Desai, Prasun N. Knocke, Philip C. |
| Copyright Year | 2007 |
| Description | In this study we present a novel method of land surface classification using surface-reflected GPS signals in combination with digital imagery. Two GPS-derived classification features are merged with visible image data to create terrain-moisture (TM) classes, defined here as visibly identifiable terrain or landcover classes containing a surface/soil moisture component. As compared to using surface imagery alone, classification accuracy is significantly improved for a number of visible classes when adding the GPS-based signal features. Since the strength of the reflected GPS signal is proportional to the amount of moisture in the surface, use of these GPS features provides information about the surface that is not obtainable using visible wavelengths alone. Application areas include hydrology, precision agriculture, and wetlands mapping. |
| File Size | 975269 |
| Page Count | 20 |
| File Format | |
| Alternate Webpage(s) | http://archive.org/details/NASA_NTRS_Archive_20080013365 |
| Archival Resource Key | ark:/13960/t1sf7r712 |
| Language | English |
| Publisher Date | 2007-01-01 |
| Access Restriction | Open |
| Subject Keyword | Lunar And Planetary Science And Exploration High Resolution Data Acquisition Soil Moisture Imagery Dispersion Remote Sensing Wetlands Mars Exploration Trajectory Analysis Mars Landing Descent Roving Vehicles Image Classification Ntrs Nasa Technical Reports Server (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science |
| Content Type | Text |
| Resource Type | Article |
