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Ocean Engineering and Marine Sciences Faculty Publications

Multispectral imagery

Publication Year

Articles 1 - 4 of 4

Full-Text Articles in Physical Sciences and Mathematics

Collection And Corrections Of Oblique Multiangle Hyperspectral Bidirectional Reflectance Imagery Of The Water Surface, Charles R. Bostater Jr., Taylor S. Oney Jan 2017

Collection And Corrections Of Oblique Multiangle Hyperspectral Bidirectional Reflectance Imagery Of The Water Surface, Charles R. Bostater Jr., Taylor S. Oney

Ocean Engineering and Marine Sciences Faculty Publications

Hyperspectral images of coastal waters in urbanized regions were collected from fixed platform locations. Surf zone imagery, images of shallow bays, lagoons and coastal waters are processed to produce bidirectional reflectance factor (BRF) signatures corrected for changing viewing angles. Angular changes as a function of pixel location within a scene are used to estimate changes in pixel size and ground sampling areas. Diffuse calibration targets collected simultaneously from within the image scene provides the necessary information for calculating BRF signatures of the water surface and shorelines. Automated scanning using a pushbroom hyperspectral sensor allows imagery to be collected on the …


Hyperspectral Signatures And Worldview-3 Imagery Of Indian River Lagoon And Banana River Estuarine Water And Bottom Types, Charles R. Bostater Jr., Taylor S. Oney, Tyler Rotkiske, Samin Aziz, Charles Morrisette, Kelby Callahan, Devin Mcallister Jan 2017

Hyperspectral Signatures And Worldview-3 Imagery Of Indian River Lagoon And Banana River Estuarine Water And Bottom Types, Charles R. Bostater Jr., Taylor S. Oney, Tyler Rotkiske, Samin Aziz, Charles Morrisette, Kelby Callahan, Devin Mcallister

Ocean Engineering and Marine Sciences Faculty Publications

Hyperspectral signatures and imagery collected during the spring and summer of 2017 and 2016 are presented. Ground sampling distances (GSD) and pixel sizes were sampled from just over a meter to less than 4.0 mm. A pushbroom hyperspectral imager was used to calculate bidirectional reflectance factor (BRF) signatures. Hyperspectral signatures of different water types and bottom habitats such as submerged seagrasses, drift algae and algal bloom waters were scanned using a high spectral and digital resolution solid state spectrograph. WorldView-3 satellite imagery with minimal water wave sun glint effects was used to demonstrate the ability to detect bottom features using …


Integration, Testing And Calibration Of Imaging Systems For Land & Water Remote Sensing, Charles R. Bostater, James Jones, Heather Frystacky, Mate Kovacs, Oszkar Jozsa Oct 2010

Integration, Testing And Calibration Of Imaging Systems For Land & Water Remote Sensing, Charles R. Bostater, James Jones, Heather Frystacky, Mate Kovacs, Oszkar Jozsa

Ocean Engineering and Marine Sciences Faculty Publications

Imagery is presented along with calibration and testing procedures of several airborne imaging systems. The low altitude airborne systems include a cooled hyperspectral imaging system with 1024 spectral channels and 1375 spatial pixels. The hyperspectral imaging system is collocated with a full resolution high definition video recorder for simultaneous HD video imagery, 12.3 megapixel digital images for multispectral "sharpening" the hyperspectral imagery, or large frame 9 inch film cameras yield scanned aerial imagery with approximately 2200 by 2200 pixel multispectral imagery. Two high spectral (252 channels) and radiometric sensitivity solid state spectrographs are used for collecting upwelling radiance (sub-meter pixels) …


Image Analysis For Water Surface & Subsurface Feature Detection In Shallow Waters, Charles R. Bostater Jr., James Jones, Heather Frystacky, Mate Kovacs, Oszkar Jozsa Jan 2010

Image Analysis For Water Surface & Subsurface Feature Detection In Shallow Waters, Charles R. Bostater Jr., James Jones, Heather Frystacky, Mate Kovacs, Oszkar Jozsa

Ocean Engineering and Marine Sciences Faculty Publications

Carefully collected airborne imagery demonstrates the ability to see water surface features as well as shallow bottom features such as submerged vegetation and manmade targets. Traditional photogrammetric imagery and airborne digital imagery both suffer from a loss in image clarity due to a number of factors, including capillary and small gravity waves, the water column or in-situ constituents. The use of submerged as well as surface man-made calibration targets deployed during airborne or in-situ subsurface image acquisitions forms a preliminary basis for correcting imagery in order to improve subsurface and surface features and their detection. Methods presented as well as …