CMRT09: Object Extraction for 3D City Models, Road Databases and Traffic Monitoring - Concepts, Algorithms, and Evaluation
For the purpose of the NDVI image, the Red and NIR channels
exhibit excessive tree pixels in the extremities due to tree lean
and the structure of the resulting NDVI image will therefore not
match the structure of the DSM. This requires further
investigation. The DSM quality can also be improved by
incorporating building foot prints if available.
LiDAR and aerial images should, ideally, not be captured
separately. Objects which exist in the images might not exist in
the LiDAR data and it is time consuming to identify and
separate those points, especially vehicles on roads or in parking
areas. In addition, if the time delay is significant, the vegetation
may change considerably.
Results from the automatic and semi-automatic stages of this
workflow are encouraging. Limitations identified above are the
subject of continuing research.
7. REFERENCES
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