3D FEATURE POINT EXTRACTION FROM LIDAR DATA USING A NEURAL NETWORK

Autor: Feng, Yu, Schlichting, Alexander, Brenner, Claus, Halounova, L., Šafář, V., Toth, C.K., Karas, J., Huadong, G., Haala, N., Habib, A., Reinartz, P., Tang, X., Li, J., Armenakis, C., Grenzdörffer, G., le Roux, P., Stylianidis, S., Blasi, R., Menard, M., Dufourmount, H., Li, Z.

Publikováno v: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLI-B1, Pp 563-569 (2016)
XXIII ISPRS Congress, Commission I
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ; XLI-B1

Accurate positioning of vehicles plays an important role in autonomous driving. In our previous research on landmark-based positioning, poles were extracted both from reference data and online sensor data, which were then matched to improve the posit

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bff4c67c3c5785297e8186654baa2805
https://doi.org/10.5194/isprsarchives-xli-b1-563-2016

VEHICLE LOCALIZATION BY LIDAR POINT CORRELATION IMPROVED BY CHANGE DETECTION

Autor: Schlichting, Alexander, Brenner, Claus, Halounova, L., Šafář, V., Toth, C.K., Karas, J., Huadong, G., Haala, N., Habib, A., Reinartz, P., Tang, X., Li, J., Armenakis, C., Grenzdörffer, G., le Roux, P., Stylianidis, S., Blasi, R., Menard, M., Dufourmount, H., Li, Z.

Publikováno v: XXIII ISPRS Congress, Commission I
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ; 41-B1
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLI-B1, Pp 703-710 (2016)

LiDAR sensors are proven sensors for accurate vehicle localization. Instead of detecting and matching features in the LiDAR data, we want to use the entire information provided by the scanners. As dynamic objects, like cars, pedestrians or even const

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8892dc2ee300381f239f792d111d6828
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B1/703/2016/

Analysis and correction of systematic height model errors

Autor: Jacobsen, Karsten, Halounova, L., Šafář, V., Toth, C.K., Karas, J., Huadong, G., Haala, N., Habib, A., Reinartz, P., Tang, X., Li, J., Armenakis, C., Grenzdörffer, G., le Roux, P., Stylianidis, S., Blasi, R., Menard, M., Dufourmount, H., Li, Z.

Publikováno v: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLI-B1, Pp 333-339 (2016)
XXIII ISPRS Congress, Commission I
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ; XLI-B1

The geometry of digital height models (DHM) determined with optical satellite stereo combinations depends upon the image orientation, influenced by the satellite camera, the system calibration and attitude registration. As standard these days the ima

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::584f266d32cd956f0d016efa934fbecb

UAS BASED TREE SPECIES IDENTIFICATION USING THE NOVEL FPI BASED HYPERSPECTRAL CAMERAS IN VISIBLE, NIR AND SWIR SPECTRAL RANGES

Autor: Roope Näsi, Niko Viljanen, J. Reinikainen, I. Näkki, Sakari Tuominen, Ilkka Pölönen, Eija Honkavaara, J. Soukkamaki, Teemu Hakala, Heikki Saari, Harri Ojanen

Publikováno v: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLI-B1, Pp 1143-1148 (2016)
Näsi, R, Honkavaara, E, Tuominen, S, Saari, H, Pölönen, I, Hakala, T, Viljanen, N, Soukkamäki, J, Näkki, I, Ojanen, H & Reinikainen, J 2016, UAS based tree species identification using the novel FPI based hyperspectral cameras in visible, nir and swir spectral ranges . in L Halounova, V Šafář, C K Toth, J Karas, G Huadong, N Haala, A Habib, P Reinartz, X Tang, J Li, C Armenakis, G Grenzdörffer, P le Roux, S Stylianidis, R Blasi, M Menard, H Dufourmont & Z Li (eds), XXIII ISPRS Congress, Commission I . Copernicus Publications, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. XLI-B1, pp. 1143-1148, 23rd ISPRS Congress, Prague, Czech Republic, 12/07/16 . https://doi.org/10.5194/isprsarchives-XLI-B1-1143-2016

Unmanned airborne systems (UAS) based remote sensing offers flexible tool for environmental monitoring. Novel lightweight Fabry-Perot interferometer (FPI) based, frame format, hyperspectral imaging in the spectral range from 400 to 1600 nm was used f

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f004ee15e2b5028f8f89de768216f66
https://doi.org/10.5194/isprs-archives-xli-b1-1143-2016

A New Algorithm for Void Filling in a DSM from Stereo Satellite Images in Urban Areas

Autor: Pablo d'Angelo, Peter Reinartz, Jiaojiao Tian, Z. Gharib Bafghi

Publikováno v: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol III-1, Pp 55-61 (2016)

Digital Surface Models (DSM) derived from stereo-pair satellite images are the main sources for many Geo-Informatics applications like 3D change detection, object classification and recognition. However since occlusion especially in urban scenes resu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::76ecd0a64b07f2506b6268cf9bfbd1bf
https://elib.dlr.de/104794/