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Noise estimation of remote sensing reflectance using a segmentation approach suitable for optically shallow waters

Sagar, Stephen; Brando, Vittorio E.; Sambridge, Malcolm


This paper outlines a methodology for the estimation of the environmental noise equivalent reflectance in aquatic remote sensing imagery using an object-based segmentation approach. Noise characteristics of remote sensing imagery directly influence the accuracy of estimated environmental variables and provide a framework for a range of sensitivity, sensor specification, and algorithm design studies. The proposed method enables estimation of the noise equivalent reflectance covariance of remote...[Show more]

CollectionsANU Research Publications
Date published: 2014
Type: Journal article
Source: IEEE Transactions on Geoscience and Remote Sensing
DOI: 10.1109/TGRS.2014.2313129


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