Multi-view Dense Match for Forest Area
LIDAR (Light Detection And Ranging) is widely used in forestry applications to obtain information about tree density, composition, change, etc. An advantage of LIDAR is its ability to get this information in a 3D structure. However, the density of LIDAR data is low, the acquisition of LIDAR data is...
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Copernicus Publications
2014-11-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-1/397/2014/isprsarchives-XL-1-397-2014.pdf |
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doaj-c9c6a49e3c42418a871b028928000af82020-11-25T01:00:41ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342014-11-01XL-139740010.5194/isprsarchives-XL-1-397-2014Multi-view Dense Match for Forest AreaW. Tao0Guangzhou Institute of Geography, Guangzhou, ChinaLIDAR (Light Detection And Ranging) is widely used in forestry applications to obtain information about tree density, composition, change, etc. An advantage of LIDAR is its ability to get this information in a 3D structure. However, the density of LIDAR data is low, the acquisition of LIDAR data is often very expensive, and it is difficult to be utilised in small areas. In this article we eavluate different methods by using multi-view to acquire high resolution images of the forest. Using the dense match method a dense point cloud can be generated. Our analysis shows that this method can provide a good alternative to using LIDAR in situations such as these.http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-1/397/2014/isprsarchives-XL-1-397-2014.pdf |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
W. Tao |
| spellingShingle |
W. Tao Multi-view Dense Match for Forest Area The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| author_facet |
W. Tao |
| author_sort |
W. Tao |
| title |
Multi-view Dense Match for Forest Area |
| title_short |
Multi-view Dense Match for Forest Area |
| title_full |
Multi-view Dense Match for Forest Area |
| title_fullStr |
Multi-view Dense Match for Forest Area |
| title_full_unstemmed |
Multi-view Dense Match for Forest Area |
| title_sort |
multi-view dense match for forest area |
| publisher |
Copernicus Publications |
| series |
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| issn |
1682-1750 2194-9034 |
| publishDate |
2014-11-01 |
| description |
LIDAR (Light Detection And Ranging) is widely used in forestry applications to obtain information about tree density, composition,
change, etc. An advantage of LIDAR is its ability to get this information in a 3D structure. However, the density of LIDAR data is
low, the acquisition of LIDAR data is often very expensive, and it is difficult to be utilised in small areas. In this article we eavluate
different methods by using multi-view to acquire high resolution images of the forest. Using the dense match method a dense point
cloud can be generated. Our analysis shows that this method can provide a good alternative to using LIDAR in situations such as
these. |
| url |
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-1/397/2014/isprsarchives-XL-1-397-2014.pdf |
| work_keys_str_mv |
AT wtao multiviewdensematchforforestarea |
| _version_ |
1725212457306161152 |