Fernerkundung I (Digitale Bildverarbeitung) - Friedrich-Schiller ...

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Prerequisites: 3D Stereo requires Geomatica Fundamentals or Geomatica Prime, and an associated Geomatica OrthoEngine sensor math model, such as Airphoto Models, Satellite Models, High-Resolution Models or RPC and Generic Models. Ausserdem: ArcGIS PIXRaster PlugIn; GeoRaster ETL Oracle, Atlantis Scientific EartView (SAR), BAE SYSTEMS – SOCETSET; u.a. (http://www.pci.on.ca/products/products_overview.html) 3.14 Geomatica 10 – ein Ausblick Entscheidende Veränderungen mit der Version 10 sind nach Auskunft eines Vertreters der Firma PCI Geomatics (vom Juni 2005) zu erwarten in den folgenden Bereichen: - Allgemeine Verbesserung der Stabilität der Software (offensichtlich ist das Grundproblem der 9er Generation nun wirklich erkannt worden). - Sogenannte „Componetization“ vieler Funktionen des OrthoEngines und genereller Funktionen zur Skriptierung und Integration in den Modeller. Dies Betrifft wohl in erster Linie Funktionen aus dem OrthoEngine. - Überarbeitung und Erweiterungen der Funktionalität des OrthoEngine Pakets selbst. - Focus: „Smart Digitizing“ im Focus, „Chart Tools“ im Focus, neue kartographische Tools im Focus. - Algorithmen Bibliothek: Erweiterung um neue Module, die auch in der Modeler und in der EASI-Umgebung zur Verfügung stehen (Reprojektion, Subsetting, Z-Value Transfer, Oracle Support, MODIS Datenimport. - Hyperspektral: Model-based atmosphärische Korrektur (MODTRAN4 RTM basierend) (GENTP5 Generate a MODTRAN4 tape file, GENRLUT Generate an at-sensor radiance lookup table, RESRLUT Resample at-senor radiance lookup table to coincide with relative response profile, ATRLUT Transform at-sensor radiance to surface reflectance dataset, GENAWC Generate an atmospheric water vapor content map, GENCLUT Detect spectral line curvature and generate a correction lookup table, SLCCOR Apply a spectral line curvature correction. SMSPEC Smooth the dataset in the along-band dimension. RLUTSP Extract radiance spectra from a radiance lookup table. VIEWAZ Evaluate the view zenith angle and azimuth, SOLARAZ Evaluate the solar zenith angle and azimuth). - Radar: Sensor Support für ENVISAT ASAR (ASA_IMS, ASA_APS, SCANSAR, ASA_WSM), neues Modul zur Terrainkorrektur: (“A new algorithm (RTCSIGM) generates a calibrated radar backscatter image from a RADARSAT or ENVISAT ASAR image, with correction for radiometric terrain effects. Radar shadow masks and layover masks are also created. The SLC2IMG algorithm generates a visible image channel from two input SLC (Single Look Complex) ASAR channels. The SARSIGM algorithm generates a calibrated radar backscatter image from an ASAR scaled radar channel and an array of incident angles. The SARBETA algorithm generates a radar brightness channel from an ASAR scaled radar channel and an array of incident angels.
4. Literatur 4.1 National and International Periodicals: 1. EARSeL Advances in Remote Sensing. 2. IEEE Transactions on Geoscience and Remote Sensing 3. International Journal of Remote sensing 4. Pattern Recognition Letters 5. Photogrammetric Engineering & Remote Sensing 6. Remote Sensing of Environment 7. Remote Sensing Reviews 8. Zeitschrift fur Photogrammetrie und <strong>Fernerkundung</strong>. 4.2 Geomatica spezifische Literaturhinweise: ATCOR F. Lanzl and R. Richter. (AUGUST 27-30 1991). A fast atmospheric correction algorithm for small swath angle satellite sensors. ICO topical meeting on atmospheric, volume and surface scattering and propagation. Florence, Italy. pp. 455-458. R. Richter. (1991). Error bounds of a fast atmospheric correction algorithm for the LANDSAT Thematic Mapper and multispectral scanner bands. APPLIED OPTICS 30(30):4412-4417. R. Richter. (1990). Model SENSAT: a tool for evaluating the system performance of optical sensors. SPIE Propagation Engineering 1312:286-297. F.J. Ahern, P.M. Teillet, and D.G. Goodenough. (1977). Transformation of atmospheric and solar illumination conditions on the CCRS Image Analysis System. Machine Processing of Remotely Sensed Data Symposium. R. Richter. (1990). A fast atmospheric correction algorithm applied to LANDSAT TM images. International Journal of Remote Sensing 11(1):159-166. SAM Kruse, F.A., Lefkoff, A.B., Boardman, J.W., Heidebrecht, K.B., Shapiro, A.T., Barloon, P.J., and Goetz, A.F.H. (1993), "The Spectral Image Processing System (SIPS) – Interactive Visualization and Analysis of Imaging Spectrometer Data", Remote Sensing of Environment, Vol. 44, pp. 145-163. DESTRIPE Horn, B. K. P., and R. J. Woodham, (1979). Destriping Landsat MSS images by histogram modification. Computer Graphics and Image Processing. Vol. 10, pp. 69-83. Poros, D. J., and C. J. Peterson, (1985). Methods for destriping Landsat TM images. Photogrammetric Engineering and Remote Sensing. Vol.51, No. 9, pp. 1371-1378. FFT Gonzalez, R.C. and Wintz, P. [1987]. Digital Image Processing. 2nd Edition, Addison-Wesley, Massachusetts. MLC Duda and Hart, 1973. Pattern Classification and Scene Analysis, John Wiley and Sons, chapter 2. Robert A. Schowengerdt, 1983. Techniques for Image Processing and Classification in Remote Sensing. Academic Press. MINDIS
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Page 15 and 16: Alle Programme, die unter XPACE zur
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