Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Jeffrey H Bowles

Showing results (1-10 of 8) with videos related to

Pageof 1
Sort By:
Optics Express|October 10, 2013
Improving the retrieval of water inherent optical properties in noisy hyperspectral data through statistical modelingDavid B Gillis, Jeffrey H Bowles, Wesley J Moses
Sensors (Basel, Switzerland)|March 18, 2015
Expected improvements in the quantitative remote sensing of optically complex waters with the use of an optically fast hyperspectral spectrometer-a modeling studyWesley J Moses, Jeffrey H Bowles, Michael R Corson
Optics Express|March 16, 2012
Impact of signal-to-noise ratio in a hyperspectral sensor on the accuracy of biophysical parameter estimation in case II watersWesley J Moses, Jeffrey H Bowles, Robert L Lucke, et al.
Optics Express|September 7, 2018
Propagation of sensor noise in oceanic hyperspectral remote sensingDavid B Gillis, Jeffrey H Bowles, Marcos J Montes, et al.
Sensors (Basel, Switzerland)|May 11, 2012
Interpretation of absorption bands in airborne hyperspectral radiance dataKarl H Szekielda, Jeffrey H Bowles, David B Gillis, et al.
Applied Optics|November 13, 2015
Airborne system for multispectral, multiangle polarimetric imagingJeffrey H Bowles, Daniel R Korwan, Marcos J Montes, et al.
Applied Optics|May 23, 2012
Vicarious calibrations of HICO data acquired from the International Space StationBo-Cai Gao, Rong-Rong Li, Robert L Lucke, et al.
Applied Optics|July 13, 2005
Interpretation of hyperspectral remote-sensing imagery by spectrum matching and look-up tablesCurtis D Mobley, Lydia K Sundman, Curtiss O Davis, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Optics Express|October 10, 2013
Improving the retrieval of water inherent optical properties in noisy hyperspectral data through statistical modelingDavid B Gillis, Jeffrey H Bowles, Wesley J Moses
Sensors (Basel, Switzerland)|March 18, 2015
Expected improvements in the quantitative remote sensing of optically complex waters with the use of an optically fast hyperspectral spectrometer-a modeling studyWesley J Moses, Jeffrey H Bowles, Michael R Corson
Optics Express|March 16, 2012
Impact of signal-to-noise ratio in a hyperspectral sensor on the accuracy of biophysical parameter estimation in case II watersWesley J Moses, Jeffrey H Bowles, Robert L Lucke, et al.
Optics Express|September 7, 2018
Propagation of sensor noise in oceanic hyperspectral remote sensingDavid B Gillis, Jeffrey H Bowles, Marcos J Montes, et al.
Sensors (Basel, Switzerland)|May 11, 2012
Interpretation of absorption bands in airborne hyperspectral radiance dataKarl H Szekielda, Jeffrey H Bowles, David B Gillis, et al.
Applied Optics|November 13, 2015
Airborne system for multispectral, multiangle polarimetric imagingJeffrey H Bowles, Daniel R Korwan, Marcos J Montes, et al.
Applied Optics|May 23, 2012
Vicarious calibrations of HICO data acquired from the International Space StationBo-Cai Gao, Rong-Rong Li, Robert L Lucke, et al.
Applied Optics|July 13, 2005
Interpretation of hyperspectral remote-sensing imagery by spectrum matching and look-up tablesCurtis D Mobley, Lydia K Sundman, Curtiss O Davis, et al.
Pageof 1