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Preprocessing: Geocoding of AVIRIS data using navigation, engineering, DEM, and radar tracking system dataRemotely sensed data have geometric characteristics and representation which depend on the type of the acquisition system used. To correlate such data over large regions with other real world representation tools like conventional maps or Geographic Information System (GIS) for verification purposes, or for further treatment within different data sets, a coregistration has to be performed. In addition to the geometric characteristics of the sensor there are two other dominating factors which affect the geometry: the stability of the platform and the topography. There are two basic approaches for a geometric correction on a pixel-by-pixel basis: (1) A parametric approach using the location of the airplane and inertial navigation system data to simulate the observation geometry; and (2) a non-parametric approach using tie points or ground control points. It is well known that the non-parametric approach is not reliable enough for the unstable flight conditions of airborne systems, and is not satisfying in areas with significant topography, e.g. mountains and hills. The present work describes a parametric preprocessing procedure which corrects effects of flight line and attitude variation as well as topographic influences and is described in more detail by Meyer.
Document ID
19950017456
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Meyer, Peter
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Larson, Steven A.
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Hansen, Earl G.
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Itten, Klaus I.
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Date Acquired
September 6, 2013
Publication Date
October 25, 1993
Publication Information
Publication: Summaries of the 4th Annual JPL Airborne Geoscience Workshop. Volume 1: AVIRIS Workshop
Subject Category
Documentation And Information Science
Accession Number
95N23876
Funding Number(s)
PROJECT: SNSF PROJ. 82-20332.90
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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