Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Daniela Ali-Sisto"'
Autor:
Daniela Ali-Sisto, Ranjith Gopalakrishnan, Mikko Kukkonen, Pekka Savolainen, Petteri Packalen
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 84, Iss , Pp 101954- (2020)
The accuracy of vertical position information can be degraded by various sources of error in digital aerial photogrammetry (DAP) based point clouds. To address this issue, we propose a relatively straightforward method for automated correction of suc
Externí odkaz:
https://doaj.org/article/f29161c69c5f41ee85497b836e17f720
Autor:
Ranjith Gopalakrishnan, Daniela Ali-Sisto, Mikko Kukkonen, Pekka Savolainen, Petteri Packalen
Publikováno v:
Remote Sensing, Vol 12, Iss 12, p 1943 (2020)
Globally, urban areas are rapidly expanding and high-quality remote sensing products are essential to help guide such development towards efficient and sustainable pathways. Here, we present an algorithm to address a common problem in digital aerial
Externí odkaz:
https://doaj.org/article/90a9e0c7e2bd4264a7dd6d33d90d3452
Publikováno v:
Silva Fennica, Vol 49, Iss 5 (2015)
The fusion of optical satellite imagery, strips of lidar data and field plots is a promising approach for the inventory of tropical forests. Airborne lidars also enable an accurate direct estimation of the forest canopy cover (CC), and thus a sample
Externí odkaz:
https://doaj.org/article/edf2d52a15b6453caeb71a5f2311d881
Publikováno v:
Metsätieteen aikakauskirja, Vol 2015, Iss 2 (2015)
Externí odkaz:
https://doaj.org/article/ff4cdc7770634e72b86cc5b350a4af43
Autor:
Daniela Ali-Sisto, Petteri Packalen
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 10:1197-1206
Recent development of image matching algorithms has enabled the generation of highly detailed image point clouds (IPCs) from aerial stereo images. The acquisition of aerial images is typically significantly less expensive than the collection of light
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d2afd064e983e218bb53a3f33db1c493
https://doi.org/10.1109/jstars.2016.2615099
https://doi.org/10.1109/jstars.2016.2615099
Autor:
Petteri Packalen, Ranjith Gopalakrishnan, Daniela Ali-Sisto, Pekka Savolainen, Mikko Kukkonen
Publikováno v:
International Journal of Applied Earth Observation and Geoinformation. 84:101954
The accuracy of vertical position information can be degraded by various sources of error in digital aerial photogrammetry (DAP) based point clouds. To address this issue, we propose a relatively straightforward method for automated correction of suc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::44734fe99dab4efd5a4c58b32e24b91b
https://doi.org/10.1016/j.jag.2019.101954
https://doi.org/10.1016/j.jag.2019.101954
Autor:
Daniela Ali-Sisto, Petteri Packalen
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-3-W3, Pp 1-5 (2017)
This study compares performance of aerial image based point clouds (IPCs) and light detection and ranging (LiDAR) based point clouds in detection of thinnings and clear cuts in forests. IPCs are an appealing method to update forest resource data, bec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::975ebfa3411006726fc9e9cadd7b64e3
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W3/1/2017/
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W3/1/2017/
Publikováno v:
Silva Fennica, Vol 49, Iss 5 (2015)
The fusion of optical satellite imagery, strips of lidar data and field plots is a promising approach for the inventory of tropical forests. Airborne lidars also enable an accurate direct estimation of the forest canopy cover (CC), and thus a sample
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::31170eafc9c2d0eae437ca6802a0b94c
https://doi.org/10.14214/sf.1405
https://doi.org/10.14214/sf.1405