Show simple item record

dc.contributor.authorBostater, Charles R.
dc.date.accessioned2017-10-04T19:30:03Z
dc.date.available2017-10-04T19:30:03Z
dc.date.issued1999-12-17
dc.identifier.citationBostater, C. R. (1999). High order derivative spectroscopy for selecting spectral regions & channels for remote sensing algorithm development. Paper presented at the Proceedings of SPIE - the International Society for Optical Engineering, , 3868 348-355.en_US
dc.identifier.urihttp://hdl.handle.net/11141/1719
dc.descriptionimaging spectroscopy, derivative spectroscopy, reflectance spectroscopy, remote sensing, radiative transfer, vegetation, canopy absorption coefficients, leaf absorption, vegetation stress, vegetation backscatter coefficients, environmental models, environmental surveillance, hyperspectral remote sensing, precision agriculture, environmental optics, water surface reflectance, water quality, TDDS-SP, signal processing.en_US
dc.description.abstractA remote sensing reflectance model, which describes the transfer of irradiant light within a plant canopy or water column has previously been used to simulate the nadir viewing reflectance of vegetation canopies and leaves under solar induced or an artificial light source and the water surface reflectance. Wavelength dependent features such as canopy reflectance leaf absorption and canopy bottom reflectance as well as water absorption and water bottom reflectance have been used to simulate or generate synthetic canopy and water surface reflectance signatures. This paper describes how derivative spectroscopy can be utilized to invert the synthetic or modeled as well as measured reflectance signatures with the goal of selecting the optimal spectral channels or regions of these environmental media. Specifically, in this paper synthetic and measured reflectance signatures are used for selecting vegetative dysfunction variables for different plant species. The measured reflectance signatures as well as model derived or synthetic signatures are processed using extremely fast higher order derivative processing techniques which filter the synthetic/modeled or measured spectra and automatically selects the optimal channels for automatic and direct algorithm application. The higher order derivative filtering technique makes use of a translating and dilating, derivative spectroscopy signal processing (TDDS-SPR) approach based upon remote sensing science and radiative transfer theory. Thus the technique described, unlike other signal processing techniques being developed for hyperspectral signatures and associated imagery, is based upon radiative transfer theory instead of statistical or purely mathematical operational techniques such as wavelets.en_US
dc.language.isoen_USen_US
dc.rightsThis published article is made available in accordance with publishers policy. It may be subject to U.S. copyright law. © (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE).en_US
dc.rights.urihttp://spie.org/publications/journals/guidelines-for-authors#Terms_of_Useen_US
dc.titleHigh order derivative spectroscopy for selecting spectral regions and channels for remote sensing algorithm developmenten_US
dc.typeConference Proceedingen_US
dc.identifier.doi10.1117/12.373121


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record