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Social and Behavioral Sciences Commons™
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- Hyperspectral remote sensing (3)
- Ground truth (2)
- Remote sensing (2)
- Water surface reflectance (2)
- Algorithms (1)
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- Aquatic remote sensing (1)
- Benthic habitat (1)
- Derivative spectroscopy (1)
- Environmental monitoring (1)
- Environmental optics (1)
- Environmental surveillance (1)
- Field methods (1)
- Hyperspectral (1)
- Image processing (1)
- Imaging spectroscopy (1)
- Mobile platforms (1)
- Modeling (1)
- Monte carlo modeling (1)
- Motion control (1)
- Pixel extraction (1)
- Protocols (1)
- Radiative transfer (1)
- Reflectance spectroscopy (1)
- Signal processing (1)
- Simulation (1)
- Submerged aquatic vegetation (1)
- Synthetic images (1)
- Target detection (1)
- Water waves (1)
- Wavelets (1)
Articles 1 - 4 of 4
Full-Text Articles in Social and Behavioral Sciences
Optimal Band Selection For Hyperspectral Remote Sensing Of Aquatic Benthic Features - A Wavelet Filter Window Approach, Charles R. Bostater
Optimal Band Selection For Hyperspectral Remote Sensing Of Aquatic Benthic Features - A Wavelet Filter Window Approach, Charles R. Bostater
Ocean Engineering and Marine Sciences Faculty Publications
This paper describes a wavelet based approach to derivative spectroscopy. The approach is utilized to select, through optimization, optimal channels or bands to use as derivative based remote sensing algorithms. The approach is applied to airborne and modeled or synthetic reflectance signatures of environmental media and features or objects within such media, such as benthic submerged vegetation canopies. The technique can also applied to selected pixels identified within a hyperspectral image cube obtained from an board an airborne, ground based, or subsurface mobile imaging system. This wavelet based image processing technique is an extremely fast numerical method to conduct higher …
A Pixel To Pixel Hyperspectral Synthetic Image Model Inter-Comparison Study, Charles R. Bostater, Luce Bassetti
A Pixel To Pixel Hyperspectral Synthetic Image Model Inter-Comparison Study, Charles R. Bostater, Luce Bassetti
Ocean Engineering and Marine Sciences Faculty Publications
The purpose of this paper is to present simulation results comparing e a Monte Carlo Hyperspectral Simulation Model (MCHSIM) which generates synthetic images with realistic water wave surface to an iterative layered radiative transfer model used to generate hyperspectral synthetic images with realistic water wave surfaces. The Monte Carlo model is divided into 5 steps: (1) generation of the photons, (2) tracking of the photon optical path and simultaneously (3) recording of the photon's location within the water column, (4) a tabulation of the photon location or positions, and conversion to meaningful radiometric quantities and (5) a calculation and processing …
Sensor Motion Control & Mobile Platforms For Aquatic Remote Sensing, Charles R. Bostater
Sensor Motion Control & Mobile Platforms For Aquatic Remote Sensing, Charles R. Bostater
Ocean Engineering and Marine Sciences Faculty Publications
Modern remote sensing systems used in repetitive environmental monitoring and surveillance applications are used on various platforms. These platforms can be categorized as stationary (fixed) or moving platforms. The sensing systems monitor the ambient environment which also may have inherent motion, such as the water surface with water waves. This is particularly the case for airborne or ship borne sensing of aquatic environments and is true for ground based walking or crawling systems. The time sequential comparison and spatial registration of sensor images, particularly "hyperspectral imagery" requires pixel to pixel registration for science based change and target (or medium) detection …
Implementation Of A Ground Truth Process For Development Of A Submerged Aquatic Vegetation (Sav) Mapping Protocol Using Hyperspectral Imagery, Carlton R. Hall, Charles R. Bostater, Robert W. Virnstein
Implementation Of A Ground Truth Process For Development Of A Submerged Aquatic Vegetation (Sav) Mapping Protocol Using Hyperspectral Imagery, Carlton R. Hall, Charles R. Bostater, Robert W. Virnstein
Ocean Engineering and Marine Sciences Faculty Publications
Protocol development for science based mapping of submerged aquatic vegetation (SAV) requires comprehensive ground truth data describing the full range of variability observed in the target. The Indian River Lagoon, Florida, extends along 250 km of the east central Florida coast adjacent to the Atlantic Ocean. The lagoon crosses the transition zone between the Caribbean and Carolinian zoogeographic provinces making it highly diverse. For large scale mapping and management of SAV four common and three uncommon species of seagrass (Tracheophyta) and three broad groups of macroalgae; red algae (Rhodophyta), green algae (Chlorophyta), and brown algae (Phaeophyta) are recognized. Based on …