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

Deep Inamdar

Showing results (1-10 of 3) with videos related to

Pageof 1
Sort By:
Methodsx|August 26, 2021
Implementation of the directly-georeferenced hyperspectral point cloudDeep Inamdar, Margaret Kalacska, George Leblanc, et al.
Methodsx|January 5, 2022
Water column compensation workflow for hyperspectral imaging dataDeep Inamdar, Gillian S L Rowan, Margaret Kalacska, et al.
Methodsx|January 20, 2023
Spatial response resampling (SR<sup>2</sup>): Accounting for the spatial point spread function in hyperspectral image resamplingDeep Inamdar, Margaret Kalacska, Patrick Osei Darko, et al.
Pageof 1

Showing results (1-10 of 3) with videos related to

Sort By:
Pageof 1
Methodsx|August 26, 2021
Implementation of the directly-georeferenced hyperspectral point cloudDeep Inamdar, Margaret Kalacska, George Leblanc, et al.
Methodsx|January 5, 2022
Water column compensation workflow for hyperspectral imaging dataDeep Inamdar, Gillian S L Rowan, Margaret Kalacska, et al.
Methodsx|January 20, 2023
Spatial response resampling (SR<sup>2</sup>): Accounting for the spatial point spread function in hyperspectral image resamplingDeep Inamdar, Margaret Kalacska, Patrick Osei Darko, et al.
Pageof 1