1 to 10 of 16 Results
Unknown - 77.7 MB -
MD5: e9b080ab871e5a96a31c73179235dd9e
Input data: 3D point cloud from the sample region to which the filters are applied with the AFwizard. |
Unknown - 4.0 MB -
MD5: ecb287c259ef82ed4e449f718abf8abf
3D point cloud of a sub-area that represents segments of class "paddy". |
Unknown - 2.1 MB -
MD5: 2a372cd47af207796c29f06ce650f381
3D point cloud of a sub-area that represents segments of class "ridge". |
Unknown - 2.0 MB -
MD5: 5a90a1674a763f4520c5ec166edb9f4f
3D point cloud of a sub-area that represents segments of class "slope". |
Unknown - 3.0 MB -
MD5: b196cd45a6bdedf9ab47d01fa830c825
3D point cloud of a sub-area that represents segments of class "valley". |
Jan 18, 2024 -
Manually labeled terrestrial laser scanning point clouds of individual trees for leaf-wood separation
Unknown - 78.2 MB -
MD5: 984abea0c7e1e0ebacfa92bf974a101e
|
Jan 18, 2024 -
Manually labeled terrestrial laser scanning point clouds of individual trees for leaf-wood separation
Unknown - 127.3 MB -
MD5: 770c0976020ac2767478aa41a8f929b7
|
Jan 18, 2024 -
Manually labeled terrestrial laser scanning point clouds of individual trees for leaf-wood separation
Unknown - 35.5 MB -
MD5: 1dcd54f0c35163b525766500f2e37a36
|
Jan 18, 2024 -
Manually labeled terrestrial laser scanning point clouds of individual trees for leaf-wood separation
Unknown - 19.7 MB -
MD5: 96b3ea239a18daf09c6897dc05a84b11
|
Jan 18, 2024 -
Manually labeled terrestrial laser scanning point clouds of individual trees for leaf-wood separation
Unknown - 112.2 MB -
MD5: 7cb494f1e0a88bdaf1baa9911e1f8164
|