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(Table 1). User Photogrammetry Remote Sensing

in CORRECTION OF ATMOSPHERIC AND BIDIRECTIONAL EFFECTS IN MULTISPECTRAL ADS40 IMAGES FOR MAPPING PURPOSES
by U. Beisl A, N. Woodhouse B

Table 4 Remote Sensing Problem

in Connectionist Knowledge Representation By Generic Rules Extraction from Trained Feedforward Neural Networks
by Richi Nayak, Ross Hayward, Joachim Diederich 1997
Cited by 1

Table 4: Results for the remote sensing data set

in A Robust Affine Matching Algorithm Using an Exponentially Decreasing Distance Function
by Axel Pinz, Manfred Prantl, Harald Ganster 1995
"... In PAGE 14: ...Table 4: Results for the remote sensing data set Figure 15 shows the results for two di erent runs of the a ne matching algo- rithm, the corresponding parameter settings are given in Table4 . The Landsat tokenset is transformed to the geometry of the MKF6 tokenset.... ..."
Cited by 3

Table 4: Results for the remote sensing data set

in A Robust Affine Matching Algorithm Using an Exponentially Decreasing Distance Function
by Axel Pinz, Manfred Prantl, Harald Ganster 1995
"... In PAGE 14: ...Table 4: Results for the remote sensing data set Figure 15 shows the results for two di erent runs of the a ne matching algo- rithm, the corresponding parameter settings are given in Table4 . The Landsat tokenset is transformed to the geometry of the MKF6 tokenset.... ..."
Cited by 3

Table 4: Results for the remote sensing data set

in A Robust Affine Matching Algorithm Using an Exponentially Decreasing Distance Function
by Axel Pinz, Manfred Prantl, Harald Ganster
"... In PAGE 14: ...Table 4: Results for the remote sensing data set Figure 15 shows the results for two di#0Berent runs of the a#0Ene matching algo- rithm, the corresponding parameter settings are given in Table4 . The Landsat tokenset is transformed to the geometry of the MKF6 tokenset.... ..."

Table 5.1. Remote Sensing Sounders

in FOR AUTOMATED DATA EXPLORATION APPLIED TO SPACE PLASMA REMOTE SENSING DATA BY
by Ivan Andreevich Galkin, Ivan Andreevich Galkin, Georges G. Grinstein, Ph. D

TABLE 2 DATABASE LINE PARAMETERS FOR REMOTE SENSING -------------------------------------------------------------------------------

in Atomic And Molecular Databases For Planetary And Terrestrial Applications
by Linda R. Brown

Table 4 Specifications of remote-sensing instruments Parameters Method Time

in The ESCOMPTE program: an overview
by D. Robin I, F. Saïd A, G. Toupance G, H. Wortham J 2003
"... In PAGE 17: ....1.5. Remote sensing measurements The main objective of the remote sensing instruments ( Table4 ) was to characterize the dynamics of the wind profiles, the height of the planetary boundary layer obtained both with radar or sodar, and the ozone stratification and concentration obtained by lidar. Several precise locations were defined, combining a radar or sodar with a lidar.... ..."

Table 2. Satellite Remote Sensing Sensors and potential in biodiversity assessment

in REVIEW
by M. S. R. Murthy, A. Giriraj, C. B. S. Dutt
"... In PAGE 10: ... Spatial delineation of biologically rich zones 8. Developing conservation strategies The potential of satellite data of different spatial and temporal resolutions in generating inputs for assessing the biodiversity are given in Table2 and brief details are given below. 2.... ..."

Table 5. Strengths and weaknesses of GIS and remotely sensed spatial data.

in models in land use science
by Derek T. Robinson, Daniel G. Brown, Dawn C. Parker, Pepijn Schreinemachers, Marco A. Janssen, Marco Huigen, Heidi Wittmer, Nick Gotts, Panomsak Promburom, Elena Irwin, Thomas Berger 2006
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