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Table 1. ATM Bands.

in Whitworth et al 1 Spectral Properties of Active, Suspended and Relict Landslides derived from Airborne Thematic Mapper Imagery.
by Spectral Properties Of, M. C. Z. Whitworth, D. P. Giles, W. Murphy, D. N. Petley
"... In PAGE 2: ... IMAGE PROCESSING Airborne remote sensing datasets Daedalus Airborne Thematic Mapper (ATM) imagery was acquired for the Broadway study area on 8th February 1997 at a flying height of 800 metres. The imagery consists of 11 bands ( Table1 ) with a re-sampled pixel size of 2 metres (Figure 3). (NERC Airborne Remote... ..."

Table 1 : Future Applications of Airborne Imagery

in A Digital Airborne Camera System for Photogrammetry and Thematic Applications
by Helmut Heier, Alexander Hinz, Er Hinz
"... In PAGE 2: ...1 Future Airborne Applications For the conception of new airborne camera systems, the opportunities resulting from these changes in the GIS market have to be considered. The demand in classical aerial imaging applications such as cartogra- phy will stagnate and perhaps even shrink in the coming years, while a market segment for new com- mercial applications will develop ( Table1 ). In part this involves applications from the field of remote sensing, which benefit from the expanded spectral capabilities of digital imaging sensors.... ..."

Table 2: Listing image data sets collected for the Moreton Bay remote sensing task.

in CRC for Coastal Zone, Estuary and Waterway Management Editors
by Coastal Waters, S. Phinn, A. G. Dekker (eds, Indooroopilly Sciences Centre, Indooroopilly Qld, S. Phinn, A. G. Dekker, S. Phinn, C. Roelfsema, P. Scarth 2004
"... In PAGE 33: ...Moreton Bay Remote Sensing Tasks 31 Definition Table2 . Description and definition of the apparent optical properties.... In PAGE 34: ... The set of instruments listed in Table 1 augmented with the AC-9 were deployed during the February 2003 field trip to measure SIOPs at the validation site and closer to the mouths of the Mooloolah and Maroochy Rivers. The image data sets collected during these field sampling runs, along with additional Landsat and airborne data sets collected for the project are listed in Table2 below. 4.... ..."

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 1. Remote sensing systems relevant to fire detection and monitoring VIS-MIR, visible, mid-infrared; TIR, thermal infrared Sensor and additional web resources Temporal Spatial resolution VIS-MIR bands TIR bands

in www.publish.csiro.au/journals/ijwf International Journal of Wildland Fire, 2006, 15, 319–345 Remote sensing techniques to assess active fire characteristics and post-fire effects
by Leigh B. Lentilea, Zachary A. Holdena, Alistair M. S. Smitha, Michael J. Falkowskia
"... In PAGE 2: ... 1999). Space and airborne sensors have been used to assess environmental conditions before and during fires and to detect changes in post-fire spectral response ( Table1 ). Remotely sensed data have been used to detect active fires (Roy et al.... In PAGE 6: ... Following a brief description of the available satellite sensor systems, this paper will provide a review of how remotely sensed imagery has been used to monitor and evaluate these fire descriptors. Remote sensing instruments and platforms Many different sensor platforms and instruments have been used to remotely map and monitor active fire characteris- tics and post-fire effects ( Table1 ). In terms of the remote sensing of active fire characteristics and post-fire effects, we can divide the available sensor systems into passive or active and then further into aerial or satellite sensors.... ..."

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 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
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