Electronic Resource
Shallow Ocean Bottom BRDF Prediction, Modeling, and Inversion via Simulation With Surface/Volume Data Derived from X-ray Tomography
| العنوان: | Shallow Ocean Bottom BRDF Prediction, Modeling, and Inversion via Simulation With Surface/Volume Data Derived from X-ray Tomography |
|---|---|
| المؤلفون: | MIAMI UNIV CORAL GABLES FL DEPT OF PHYSICS, Boynton, G.C., Voss, K.J. |
| المصدر: | DTIC |
| بيانات النشر: | 2009 |
| نوع الوثيقة: | Electronic Resource |
| مستخلص: | We are investigating the measurable features in the BRDF (Bi-directional Reflectance Distribution Function) of benthic surfaces made of natural sediments and how that is influenced by the morphology of the sediment grain composition. If the measured BRDF shows features which can be numerically derived from the physical properties such as size and shape of the sediment material, then we should be able to invert BRDF data to obtain significant characterizations of the natural sediment properties. Extend current numerical BRDF ray tracing techniques to deal with natural sediments via input of sediment grain data from x-ray CT measurements. Discover if the BRDF data can be inverted to give information about grain size, morphology and interstitial spacing. |
| مصطلحات الفهرس: | Physical and Dynamic Oceanography, Numerical Mathematics, Computer Programming and Software, Miscellaneous Detection and Detectors, COMPUTERIZED TOMOGRAPHY, X RAYS, REFLECTANCE, SHALLOW DEPTH, DISTRIBUTION FUNCTIONS, COMPUTERIZED SIMULATION, OCEAN BOTTOM, BRDF(BIDIRECTIONAL REFLECTANCE DISTRIBUTION FUNCTIONS), CT(COMPUTERIZED TOMOGRAPHY), Text |
| URL: | |
| الاتاحة: | Open access content. Open access content Approved for public release; distribution is unlimited. |
| ملاحظة: | text/html English |
| Other Numbers: | DTICE ADA527242 832094290 |
| المصدر المساهم: | From OAIster®, provided by the OCLC Cooperative. |
| رقم الانضمام: | edsoai.ocn832094290 |
| قاعدة البيانات: | OAIster |
| الوصف غير متاح. |