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AUTOMATIC CLASSIFICATION OF AERIAL IMAGERY FOR URBAN HYDROLOGICAL APPLICATIONS
Classification hydrologic application coefficient of imperviousness Random Forests Conditional Random Fields
2018/5/15
In this paper we investigate the potential of automatic supervised classification for urban hydrological applications. In particular, we contribute to runoff simulations using hydrodynamic urban drain...
A NEW APPROACH TO AUTOMATIC JUNCTION OF OVERLAPPING AERIAL IMAGERY DATA
Automation matching recognition, detection
2015/6/1
The original approach to image matching is proposed. The method itself can be classified as relational matching, bases on point
features. For robust extraction and filtration of features the special...
Comparison between high-resolution aerial imagery and lidar data classification of canopy and grass in the NESCO neighborhood, Indianapolis, Indiana
GIS Remote Sensing LiDAR Classification Canopy
2015/1/9
Urban forestry is a very important element of urban structures that can improve the environment and life quality within the urban areas. Having an accurate classification of urban forests and grass ar...