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fbtwitterlinkedinvimeoflicker grey 14rssslideshare1
A. Pros; I. Colomina; J. A. Navarro; R. Antequera; P. Andrinal (2013)
Publisher: Copernicus Publications
Journal: The International Archives of the Photogrammetry
Languages: English
Types: Article
Subjects: TA1-2040, T, TA1501-1820, Applied optics. Photonics, Engineering (General). Civil engineering (General), Technology

Classified by OpenAIRE into

ACM Ref: GeneralLiterature_MISCELLANEOUS, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, ComputingMethodologies_COMPUTERGRAPHICS
In this paper we present a radiometric block adjustment method that is related to geometric block adjustment and to the concept of a terrain Digital Radiometric Model (DRM) as a complement to the terrain digital elevation and surface models. A DRM, in our concept, is a function that for each ground point returns a reflectance value and a Bidirectional Reflectance Distribution Function (BRDF). In a similar way to the terrain geometric reconstruction procedure, given an image block of some terrain area, we split the DRM generation in two phases: radiometric block adjustment and DRM generation. In the paper we concentrate on the radiometric block adjustment step, but we also describe a preliminary DRM generator. In the block adjustment step, after a radiometric pre-calibraton step, local atmosphere radiative transfer parameters, and ground reflectances and BRDFs at the radiometric tie points are estimated. This radiometric block adjustment is based on atmospheric radiative transfer (ART) models, pre-selected BRDF models and radiometric ground control points. The proposed concept is implemented and applied in an experimental campaign, and the obtained results are presented. The DRM and orthophoto mosaics are generated showing no radiometric differences at the seam lines.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • Beisl, U. and Woodhouse, N., 2004. Correction of atmospheric and bidirectional effects in multispectral ads40 images for mapping purposes. Proc. XXth Congress of the ISPRS, Istanbul, Turkey p. 5.
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    • The need and keys for a new generation network adjustment software. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences. 2012 August, September, Melbourne, Australia. pp. 303-308.
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    • Goldman, D. B., 2010. Vignette and exposure calibration and compensation. Pattern Analysis and Machine Intelligence, IEEE Transactions on 32(12), pp. 2276-2288.
    • Honkavaara, E., Arbiol, R., Markelin, L., Martinez, L., Cramer, M., Bovet, S., Chandelier, L., Ilves, R., Klonus, S., Marshal, P., Shla¨pfer, D., Tabor, M., Thom, C. and Veje, N., 2009. Digital airbon photogrammetry a new tool for quantitiative remote sensing? a state-of-the-art review on radiometric aspects of digital photogrammetric images. Remote Sensing 1(3), pp. 577-605.
    • and Ma¨kynen, J., 2012a. A process for radiometric correction of UAV image blocks. Photogrammetrie Fernerkundung Geoinformation 2012(2), pp. 115-127.
    • Honkavaara, E., Markelin, L., Rosnell, T. and Nurminen, K., 2012b. Influence of solar elevation in radiometric and geometric performance of multispectral photogrammetry. ISPRS Journal of Photogrammetry & Remote Sensing 67, pp. 13-26.
    • Olsen, D., Dou, C., Zhang, X., Hu, L., Kim, H. and Hildum, E., 2010. Radiometric calibration for agcam. Remote Sensing 2, pp. 464-477.
    • Richter, R. and Schla¨pfer, D., 2002. Geo-atmospheric processing of airbone imaging spectrometry data. part 2: Atmospheric/topographic correction. International Journal of Remote Sensing 23(13), pp. 2631-2649.
    • Zheng, Y., Lin, S., Kambhamettu, C., Yu, J. and Kang, S. B., 2009. Single-image vignetting correction. Pattern Analysis and Machine Intelligence, IEEE Transactions on 31(12), pp. 2243- 2256.
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