Title :
Spatial statistical techniques for aggregating point objects extracted from high spatial resolution imagery
Author :
Nelson, T. ; Niemann, K.O. ; Wulder, M.
Author_Institution :
Dept. of Geogr., Victoria Univ., BC, Canada
Abstract :
Using an IKONOS 1-m panchromatic image covering a range of forest ages, points representing individual trees were extracted via local maximum filtering. Nearest neighbour statistics were applied to the local maximum points and metrics representing forest structure developed. Point attributes, based on forest structure metrics, were then generated and used to aggregate the points into polygons. The resultant forest structure polygons show a meaningful association with nine age classes used by the British Columbia Ministry of Forest for forest inventory
Keywords :
digital filters; feature extraction; forestry; image recognition; image resolution; remote sensing; statistical analysis; vegetation mapping; British Columbia Ministry of Forest; Canada; IKONOS image; forest inventory; forest structure; forest structure metrics; high spatial resolution imagery; local maximum filtering; nearest neighbour statistics; point attributes; point objects; polygons; spatial statistical techniques; Aggregates; Data mining; Filtering; Filters; Forestry; Geography; Information management; Satellites; Spatial resolution; Statistics;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2001. IGARSS '01. IEEE 2001 International
Conference_Location :
Sydney, NSW
Print_ISBN :
0-7803-7031-7
DOI :
10.1109/IGARSS.2001.977027
