An operational method for estimating signal to noise ratios from data acquired with imaging spectrometers

[1]  Azriel Rosenfeld,et al.  A Fast Parallel Algorithm for Blind Estimation of Noise Variance , 1990, IEEE Trans. Pattern Anal. Mach. Intell..

[2]  F. Kruse Evaluation of the airborne visible-infrared imaging spectrometer for mapping subtle lithological variation , 1990 .

[3]  Jennifer L. Dungan,et al.  Estimation of signal-to-noise: a new procedure applied to AVIRIS data , 1989 .

[4]  Masanobu Shimada,et al.  Evaluation of Spot Hrv Image Data Received in Japan , 1989, 12th Canadian Symposium on Remote Sensing Geoscience and Remote Sensing Symposium,.

[5]  N. Lu,et al.  Radiometric Sensitivity Comparisons of Multispectral Imaging Systems , 1989, 12th Canadian Symposium on Remote Sensing Geoscience and Remote Sensing Symposium,.

[6]  J.S. Lee,et al.  Noise Modeling and Estimation of Remotely-Sensed Images , 1989, 12th Canadian Symposium on Remote Sensing Geoscience and Remote Sensing Symposium,.

[7]  M. Mori,et al.  Three-Dimensional Ana.lysis of Spot Hrv Data , 1989, 12th Canadian Symposium on Remote Sensing Geoscience and Remote Sensing Symposium,.

[8]  R. Green,et al.  Determination of in-flight AVIRIS spectral, radiometric, spatial and signal-to-noise characteristics using atmospheric and surface measurements from the vicinity of the rare-earth-bearing carbonatite at Mountain Pass, California , 1988 .

[9]  A F Goetz,et al.  Imaging Spectrometry for Earth Remote Sensing , 1985, Science.

[10]  F. Bretherton,et al.  Cloud cover from high-resolution scanner data - Detecting and allowing for partially filled fields of view , 1982 .