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ZIP Archive - 505.7 MB -
MD5: 6a7ef845ebb0d94f1c753511d5ad2caf
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ZIP Archive - 417.1 MB -
MD5: f5d135f9562380d812bd6d5932fed33c
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ZIP Archive - 678.8 MB -
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ZIP Archive - 28.4 MB -
MD5: c6eccf77c4c87d69b01bcee280fe6dc9
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Jul 21, 2022 -
3D Point Cloud from Nakadake Sanroku Kiln Site Center, Japan: Sample Data for the Application of Adaptive Filtering with the AFwizard
Adobe PDF - 1.6 MB -
MD5: 99c7b15060c5509dbb0a61d15263534a
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JSON - 312 B -
MD5: a5835047e1a69987e02599d7fc1821c6
Filter pipeline for segments of class "paddy field". |
JSON - 300 B -
MD5: 1fe264da9d9691837fb718f99cf96803
Filter pipeline for segments of class "slope" and "ridge". |
JSON - 563 B -
MD5: 5f845e8634511fea8aa1cde9d3ad288f
Filter pipeline for segments of class "valley". |
Unknown - 77.7 MB -
MD5: e9b080ab871e5a96a31c73179235dd9e
Input data: 3D point cloud from the sample region to which the filters are applied with the AFwizard. |
GeoJSON - 18.4 KB -
MD5: cb34ffb4e3214f613330c72a9093c120
Segmentation of the sample area with segment classes and the adapted filter pipelines assigned. |