JOINT CLASSIFICATION OF ALS AND DIM POINT CLOUDS

Autor: Politz, F., Sester, M., Vosselman, G., Oude, Elberink, S.J., Yang, M.Y.

Publikováno v: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-2-W13, Pp 1113-1120 (2019)
ISPRS Technical Commission III Symposium : 5 – 7 September 2014, Zurich, Switzerland
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ; XLII-2/W13

National mapping agencies (NMAs) have to acquire nation-wide Digital Terrain Models on a regular basis as part of their obligations to provide up-to-date data. Point clouds from Airborne Laser Scanning (ALS) are an important data source for this task

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2defc5e6c0b31b47c032b781b6c602db
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W13/1113/2019/isprs-archives-XLII-2-W13-1113-2019.pdf

EXPLORING ALS AND DIM DATA FOR SEMANTIC SEGMENTATION USING CNNS

Autor: Politz, F., Sester, M., Jutzi, B., Weinmann, M., Hinz, S.

Publikováno v: ISPRS TC I Mid-term Symposium "Innovative Sensing – From Sensors to Methods and Applications"
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ; 42-1
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-1, Pp 347-354 (2018)

Over the past years, the algorithms for dense image matching (DIM) to obtain point clouds from aerial images improved significantly. Consequently, DIM point clouds are now a good alternative to the established Airborne Laser Scanning (ALS) point clou

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd03bbc3c9a5ede34345f6c728710265
https://doi.org/10.5194/isprs-archives-xlii-1-347-2018

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