Microwave and Millimeter Wave Remote Sensing of Snow and Detection of Buried Objects in Snow Environment.
Understanding and predicting the snow conditions in snow terrain is important to the US Army in the transportation of military vehicles, equipment, and personnel and for monitoring battlefield environment in snow terrain. The snow parameters that characterize snow conditions are snow wetness, snow d...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Text |
| Language: | English |
| Published: |
1997
|
| Subjects: | |
| Online Access: | http://www.dtic.mil/docs/citations/ADA324646 http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA324646 |
| Summary: | Understanding and predicting the snow conditions in snow terrain is important to the US Army in the transportation of military vehicles, equipment, and personnel and for monitoring battlefield environment in snow terrain. The snow parameters that characterize snow conditions are snow wetness, snow depth, snow density, and snow grain size and layering. These parameters describe the hydrological and mechanical states of the snow pack. Remote sensing of snow conditions using microwave and millimeters waves are useful techniques. The microwaves and millimeter waves interact with the snow rough surface and volume scattering to produce the bistatic and monostatic radar return. Detection of mines in snow terrain environment is an important problem. The scattering of wave by the mine can be obscured by the scattering of snow clutter. A newly developed technique based on angular correlation function can be used to suppress the scattering by clutter and relatively enhance the scattering by the mine. |
|---|