Home

About

Advanced Search

Browse by Discipline

Scientific Societies

E-print Alerts

Add E-prints

E-print Network
FAQHELPSITE MAPCONTACT US


  Advanced Search  

 
Applications of Terrain and Sensor Data Fusion in Image Mining Krzysztof Koperski, Giovanni Marchisio, Selim Aksoy, and Carsten Tusk
 

Summary: Applications of Terrain and Sensor Data Fusion in Image Mining
Krzysztof Koperski, Giovanni Marchisio, Selim Aksoy, and Carsten Tusk
Insightful Corporation
1700 Westlake Ave. N, Suite 500
Seattle, WA, 98109-3044
{krisk, giovanni, saksoy, ctusk}@insightful.com
Abstract We describe usage of DEM data in the VisiMine
system for data mining and statistical analysis of the collections
of remotely sensed images.
I INTRODUCTION
Fusion of terrain with optical and other sensor data can
greatly enhance many image processing and interpretation
tasks. In a broader sense we could employ observed statistical
interdepencies of optical and terrain data over large areas to
solve problems in automatic image classification in an
entirely probabilistic framework. This would benefit our
ability to predict vegetation types and land classes, model
deviations in multispectral reflectance, reduce the time
required for spectral signature calibration and terrain
correction, and generally improve the precision of many data

  

Source: Aksoy, Selim - Department of Computer Engineering, Bilkent University

 

Collections: Computer Technologies and Information Sciences