ASSESSMENT OF THE INFLUENCE OF AERIAL IMAGE RADIOMETRY ON THE QUALITY OF POINT CLOUDS GENERATED BY SEMI-GLOBAL MATCHING

Hirschmüller H. Stereo Processing by Semi-Global Matching and Mutual Information, IEEE Transactions on Pattern Analysis and Machine Intelligence, 30 (2), pp. 328-341, 2008.

Fritsch D. Benchmarks within EuroSDR – a review, proceedings of EuroSDR Workshop High Density Image Matching for DSM Computation, Austria, 2012.

Gehrke S., Downey M., Uebbing R., Welter J. & LaRocque W. A multi-sensor approach to semi-global matching, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXIX-B3, 17-22, DOI: 10.5194/isprsarchives-XXXIX-B3-17 -2012, 2012. 14th SGEM GeoConference on Informatics, Geoinformatics and Remote Sensing

Hirschmüller H. & Bucher T. Evaluation of Digital Surface Models by Semi-Global Matching, DGPF, Austria, 2010.

Rothermel M. & Haala N. Potential of Dense Matching for the Generation of High Quality Digital Elevation Models, ISPRS Hannover Workshop 2011: High-Resolution Earth Imaging for Geospatial Information, IASPRS, Volume XXXVIII-4/W19, Germany, 2011.

Haala N. Multiray Photogrammetry and Dense Image Matching, Photogrammetric Week 2011, Wichmann Verlag, Berlin/Offenbach, pp. 185-195, Germany, 2011.

Gehrke S., Morin K., Downey M., Boehrer N. & Fuchs T. Semi-Global Matching: An Alternative to LiDAR for DSM Generation Int. Arch. Phot. & Rem. Sens., Calgary, AB, 38(B1). Canada, 2010.

Haala N. The Landscape of Dense Image Matching Algorithms, Photogrammetric Week 2013 (Ed. D. Fritsch), Germany, 2013.

Mootz J. & Mathews L. Displaying and stretching 16-bit per band digital imagery, USDA FSA Aerial Photography Field Office. Salt Lake City, Utah, https://www.fsa.usda.gov/Internet/FSA_File/stretch_cominstapp21312.pdf, USA, 2012.

Cramer M. Geometry perfect – radiometry unknown Photogrammetric Week 2011, (Fritsch, D., Ed.), Wichmann Verlag, Heidelberg, pp. 65-77, Germany, 2011.

Höhle J. On the Potential of new digital aerial cameras for DEM generation, Photogrammetric Journal of Finland, 22, 2011 (2) p. 27-36, Finland, 2011.

Rothermel M., Wenzel K., Fritsch D. & Haala N. SURE: Photogrammetric Surface Reconstruction from Imagery, Proceedings LC3D Workshop, Germany, 2012.

Wenzel K., Rothermel M., Haala N. & Fritsch, D. SURE – The ifp Software for Dense Image Matching, Photogrammetric Week 2013, Ed. D. Fritsch, Wichmann, Berlin/Offenbach, pp. 59-70, Germany, 2013.

Dominik W. Porównanie właściwości chmury punktów wygenerowanej metodą dopasowania obrazów zdjęć lotniczych z chmurą punktów otrzymaną z lotniczego skanowania laserowego, Proceedings of the VII Ogólnopolskie Sympozjum Geoinformatyczne. Poland, 2013.

Bakuła K., Dominik W. & Ostrowski W. Verification and improving planimetric accuracy of airborne laser scanning data with using photogrammetric data, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-3/W1, 21-26, DOI: 10.5194/isprsarchives-XL-3 -W1-21-2014, 2014.

Hirschmüller H. Stereo Processing by Semi-Global Matching and Mutual Information, IEEE Transactions on Pattern Analysis and Machine Intelligence, 30 (2), pp. 328-341, 2008.

Fritsch D. Benchmarks within EuroSDR – a review, proceedings of EuroSDR Workshop High Density Image Matching for DSM Computation, Austria, 2012.

Gehrke S., Downey M., Uebbing R., Welter J. & LaRocque W. A multi-sensor approach to semi-global matching, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXIX-B3, 17-22, DOI: 10.5194/isprsarchives-XXXIX-B3-17 -2012, 2012. 14th SGEM GeoConference on Informatics, Geoinformatics and Remote Sensing

Hirschmüller H. & Bucher T. Evaluation of Digital Surface Models by Semi-Global Matching, DGPF, Austria, 2010.

Rothermel M. & Haala N. Potential of Dense Matching for the Generation of High Quality Digital Elevation Models, ISPRS Hannover Workshop 2011: High-Resolution Earth Imaging for Geospatial Information, IASPRS, Volume XXXVIII-4/W19, Germany, 2011.

Haala N. Multiray Photogrammetry and Dense Image Matching, Photogrammetric Week 2011, Wichmann Verlag, Berlin/Offenbach, pp. 185-195, Germany, 2011.

Gehrke S., Morin K., Downey M., Boehrer N. & Fuchs T. Semi-Global Matching: An Alternative to LiDAR for DSM Generation Int. Arch. Phot. & Rem. Sens., Calgary, AB, 38(B1). Canada, 2010.

Haala N. The Landscape of Dense Image Matching Algorithms, Photogrammetric Week 2013 (Ed. D. Fritsch), Germany, 2013.

Mootz J. & Mathews L. Displaying and stretching 16-bit per band digital imagery, USDA FSA Aerial Photography Field Office. Salt Lake City, Utah, https://www.fsa.usda.gov/Internet/FSA_File/stretch_cominstapp21312.pdf, USA, 2012.

Cramer M. Geometry perfect – radiometry unknown Photogrammetric Week 2011, (Fritsch, D., Ed.), Wichmann Verlag, Heidelberg, pp. 65-77, Germany, 2011.

Höhle J. On the Potential of new digital aerial cameras for DEM generation, Photogrammetric Journal of Finland, 22, 2011 (2) p. 27-36, Finland, 2011.

Rothermel M., Wenzel K., Fritsch D. & Haala N. SURE: Photogrammetric Surface Reconstruction from Imagery, Proceedings LC3D Workshop, Germany, 2012.

Wenzel K., Rothermel M., Haala N. & Fritsch, D. SURE – The ifp Software for Dense Image Matching, Photogrammetric Week 2013, Ed. D. Fritsch, Wichmann, Berlin/Offenbach, pp. 59-70, Germany, 2013.

Dominik W. Porównanie właściwości chmury punktów wygenerowanej metodą dopasowania obrazów zdjęć lotniczych z chmurą punktów otrzymaną z lotniczego skanowania laserowego, Proceedings of the VII Ogólnopolskie Sympozjum Geoinformatyczne. Poland, 2013.

Bakuła K., Dominik W. & Ostrowski W. Verification and improving planimetric accuracy of airborne laser scanning data with using photogrammetric data, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-3/W1, 21-26, DOI: 10.5194/isprsarchives-XL-3 -W1-21-2014, 2014.