Thesis (M.Sc.). / Written for the Dept. of Bioresource Engineering. Title from title page of PDF (viewed 2008/05/14). Includes bibliographical references.

Thesis (M.Sc.). / Written for the Dept. of Bioresource Engineering. Title from title page of PDF (viewed 2008/05/14). Includes bibliographical references.

Thesis (Ph. D.)--University of Texas at Austin, 2007. / Vita. Includes bibliographical references.

Thesis (M.S.)--Virginia Polytechnic Institute and State University, 1994. / Vita. Abstract. Includes bibliographical references (leaves 62-68). Also available via the Internet.

Multispectral imaging systems provide much of the basic data used by the land and ocean civilian remote sensing community. There are numerous multispectral imaging systems which have been and are being developed. A common way to compare the radiometric performance of these sensors is to examine their noise equivalent change in reflectance, NEDeltarho. The NEDeltarho of a sensor is the reflectance difference that is equal to the noise in the recorded signal. In order to directly compare the sensors, calculations of the parameter being compared need to have a common basis. This thesis compares the noise equivalent change in reflectance of seven different multispectral imaging systems (AVHRR, AVIRIS, ETM, HIRIS, MODIS-N, SPOT-1/HRV, and TM) for a set of three atmospheric conditions (continental aerosol with 23 km visibility, continental aerosol with 5 km visibility, and a Rayleigh atmosphere), five values of ground reflectance (0.01, 0.10, 0.25, 0.50, and 1.00), a nadir viewing angle, and a solar zenith angle of forty-five degrees.

Thesis (M.A.)--Brigham Young University. Dept. of Humanities, Classics, and Comparative Literature, 2004. / Includes bibliographical references (p. 79-83).

Not available / text

Thesis (M.S)--Rochester Institute of Technology, 1990. / Includes bibliographical references.

One computer disk in pocket inside back cover. / System requirements for accompanying computer disk: Macintosh computer. / Bibliography: leaves 148-160. / xii, 161 leaves : ill. (some col.) ; 30 cm. + 1 computer disk (3.5 in. DD) / Title page, contents and abstract only. The complete thesis in print form is available from the University Library. / This thesis presents two new families of classification algorithms for pixel classification based on multi-spectral texture. The research demonstrates that algorithms making use of multispectral texture can be constructed that produce better classifications than standard algorithms at comparable computational cost. / Thesis (Ph.D.)--University of Adelaide, Dept. of Electrical and Electronic Engineering, 1994?

Thesis (M.S.)--Rochester Institute of Technology, 2009. / Typescript. Includes bibliographical references (leaves 85-86).