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- W2073287002 abstract "Abstract. Extraction of landscape features from LiDAR data has been studied widely in the past few years. These feature extraction methodologies have been focussed on certain types of features only, namely the bare earth model, buildings principally containing planar roofs, trees and roads. In this paper, we present a methodology to process LiDAR data through DBSCAN, a density based clustering method, which extracts natural and man-made clusters. We then develop heuristics to process these clusters and simplify them to be sent to a visualization engine." @default.
- W2073287002 created "2016-06-24" @default.
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- W2073287002 date "2012-09-03" @default.
- W2073287002 modified "2023-10-02" @default.
- W2073287002 title "HEURISTICAL FEATURE EXTRACTION FROM LIDAR DATA AND THEIR VISUALIZATION" @default.
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- W2073287002 doi "https://doi.org/10.5194/isprsarchives-xxxviii-5-w12-13-2011" @default.
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