Open Access. Powered by Scholars. Published by Universities.®
Social and Behavioral Sciences Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Keyword
-
- Data fusion (3)
- Multispectral imagery (3)
- Oil spills (3)
- Airborne image acquisition (2)
- Airborne sensors (2)
-
- Cameras (2)
- Feature detection (2)
- Hyperspectral sensing (2)
- Image fusion (2)
- Subsurface imaging (2)
- Target detection (2)
- 2D Butterworth filter (1)
- Airborne (1)
- Airborne imagery (1)
- Airborne remote sensing (1)
- Calibration (1)
- Contrast Algorithms (1)
- Derivative spectroscopy (1)
- Environmental Surveillance (1)
- Feature Detection and Discrimination (1)
- Hydrologic optics (1)
- Hyperspectral (1)
- Hyperspectral Image Acquisition (1)
- Hyperspectral Imaging Systems (1)
- Hyperspectral remote sensing (1)
- Hyperspectral sensor calibration (1)
- Image analysis (1)
- Image contrast (1)
- Image sharpening (1)
- Kalman filters (1)
Articles 1 - 5 of 5
Full-Text Articles in Social and Behavioral Sciences
Airborne Multisensor Remote Sensing Systems For Subsurface Feature Detection In Littoral Zones, Charles R. Bostater
Airborne Multisensor Remote Sensing Systems For Subsurface Feature Detection In Littoral Zones, Charles R. Bostater
Ocean Engineering and Marine Sciences Faculty Publications
This paper describes low altitude mobile imaging of near coastal waters in the Northern Gulf of Mexico. A suite of mobile multispectral and hyperspectral sensors were flown between ∼1,000m to ∼3000m altitudes in order detect subsurface features in nearby wetlands and littoral zone areas following the Deepwater Horizon oil spill. In this paper techniques used to develop, integrate and calibrate the airborne sensors are described. The sensors include a multispectral digital frame camera system, a traditional photogrammetric camera, and a small custom hyperspectral imaging system with custom software. Ancillary sensors include include multiple differential GPS and inertial motion unit (IMU) …
Contrast Based Band Selection For Optimized Weathered Oil Detection In Hyperspectral Images, Florian Levaux, Charles R. Bostater, Xavier Neyt
Contrast Based Band Selection For Optimized Weathered Oil Detection In Hyperspectral Images, Florian Levaux, Charles R. Bostater, Xavier Neyt
Ocean Engineering and Marine Sciences Faculty Publications
Hyperspectral imagery offers unique benefits for detection of land and water features due to the information contained in reflectance signatures such as the bi-directional reflectance distribution function or BRDF. The reflectance signature directly shows the relative absorption and backscattering features of targets. These features can be very useful in shoreline monitoring or surveillance applications, for example to detect weathered oil. In real-time detection applications, processing of hyperspectral data can be an important tool and Optimal band selection is thus important in real time applications in order to select the essential bands using the absorption and backscatter information. In the present …
Acquisition Of Airborne Imagery In Support Of Deepwater Horizon Oil Spill Recovery Assessments, Charles R. Bostater, Frank Edgar Müller-Karger
Acquisition Of Airborne Imagery In Support Of Deepwater Horizon Oil Spill Recovery Assessments, Charles R. Bostater, Frank Edgar Müller-Karger
Ocean Engineering and Marine Sciences Faculty Publications
Remote sensing imagery was collected from a low flying aircraft along the near coastal waters of the Florida Panhandle and northern Gulf of Mexico and into Barataria Bay, Louisiana, USA, during March 2011. Imagery was acquired from an aircraft that simultaneously collected traditional photogrammetric film imagery, digital video, digital still images, and digital hyperspectral imagery. The original purpose of the project was to collect airborne imagery to support assessment of weathered oil in littoral areas influenced by the Deepwater Horizon oil and gas spill that occurred during the spring and summer of 2010. This paper describes the data acquired and …
Resolution Enhancement Optimizations For Hyperspectral And Multispectral Synthetic Image Fusion, Charles R. Bostater
Resolution Enhancement Optimizations For Hyperspectral And Multispectral Synthetic Image Fusion, Charles R. Bostater
Ocean Engineering and Marine Sciences Faculty Publications
Many sensor systems are available for sensing the earth surface from satellites as well as airborne and mobile platforms. Thus, fusing data from multiple sensors is becoming a common theme in earth remote sensing. A major goal of remote sensing image fusion is resolution enhancement. In this paper, optimization techniques are presented and discussed in order to help make an image fusion process a practical method for not only spectral signature based image analysis but also for algorithm development in remote sensing of water. The technique described and explored in this paper includes the identification of feature areas, stratified random …
Remote Sensing Of Shorelines Using Data Fusion Of Hyperspectral And Multispectral Imagery Acquired From Mobile And Fixed Platforms, Charles R. Bostater, Heather Frystacky
Remote Sensing Of Shorelines Using Data Fusion Of Hyperspectral And Multispectral Imagery Acquired From Mobile And Fixed Platforms, Charles R. Bostater, Heather Frystacky
Ocean Engineering and Marine Sciences Faculty Publications
An optimized data fusion methodology is presented and makes use of airborne and vessel mounted hyperspectral and multispectral imagery acquired at littoral zones in Florida and the northern Gulf of Mexico. The results demonstrate the use of hyperspectral-multispectral data fusion anomaly detection along shorelines and in surface and subsurface waters. Hyperspectral imagery utilized in the data fusion analysis was collected using a 64-1024 channel, 1376 pixel swath width; temperature stabilized sensing system; an integrated inertial motion unit; and differential GPS. The imaging system is calibrated using dual 18 inch calibration spheres, spectral line sources, and custom line targets. Simultaneously collected …