Regarding thematic processing of remote sensing data new problems have arisen with the rapid increase of geometric
and spectral resolution. These have been partly solved through the application of object oriented methods and alternative
(e.g. fuzzy logic) approaches for the actual allocation of a feature to a topographical object whereas these methods do not
apply comprehensively to the quality assessment of the processed data. We present an integrated approach for the
assessment of classified high-resolution remote sensing scenes which considers uncertainties - not only in the classified
data but in the reference ("ground truth") data as well. Instead of discrete object boundaries we define transition zones
between adjacent objects; a fuzzy function describes the distribution of class membership values within these zones.
Thus we can compute an evaluation measure on the basis of the uncertainty model - the CFCM (Class-specific Fuzzy
Certainty Measure) provides a quality assessment for classified remote sensing data considering uncertainties in geometry and semantics. The work is part of the project "CLassification Assessment using an Integrated Method (CLAIM)".
The paper describes the mathematical models and procedures for computing and resampling epipolar images from the MOMS-02 linear scanner images. The necessary condition is that the interior and exterior orientation elements must be known for each image scan line. This is the case for the MOMS-02 images. The generated digital epipolar image pair can be observed and mapped on the computer screen. The algorithms can also be applied to the images of the other type of linear scanner sensors possibly with some necessary modifications.
This paper presents the methods and results of the integration of digital orthoimages into a revision system for cartographical databases. In this context, the appropriate choice of parameters for the orthoimage generation, and the usefulness of scanned aerial photographs and satellite imagery as a data source are discussed.
Conference Committee Involvement (8)
Earth Resources and Environmental Remote Sensing/GIS Applications
12 September 2017 | Warsaw, Poland
Earth Resources and Environmental Remote Sensing/GIS Applications
27 September 2016 | Edinburgh, United Kingdom
Earth Resources and Environmental Remote Sensing/GIS Applications
22 September 2015 | Toulouse, France
Earth Resources and Environmental Remote Sensing/GIS Applications
23 September 2014 | Amsterdam, Netherlands
Earth Resources and Environmental Remote Sensing/GIS Applications IV
23 September 2013 | Dresden, Germany
Earth Resources and Environmental Remote Sensing/GIS Applications
25 September 2012 | Edinburgh, United Kingdom
Earth Resources and Environmental Remote Sensing/GIS Applications
20 September 2011 | Prague, Czech Republic
Earth Resources and Environmental Remote Sensing/GIS Applications
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