isprs archives XLII 2 W7 339 2017
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3) The matching points were passed from upper layer to next Layer (Row 1 and second to the fifth layer in Table 1). According to the down sampling interval when the pyramid
Also, to incorporate the interaction of roadway, demographic, and socioeconomic features within a Traffic Analysis Zone (TAZ), with the bicycle crashes of that area, a
In the third stage, point-based features are extracted for the ground points, and then, an individual point classification procedure is performed to classify
Our method, based on connected domains, is different from traditional methods; it uses image segmentation to extract morphological features, while the enhanced vegetation index (EVI),
We propose a new feature combination by fusing features from both hyperspectral and LiDAR, which achieves competent classification accuracy with low feature dimension, while
Because of the point cloud characteristic of the gully and the particularity of the terrain features, this paper puts forward a method of detecting airborne
LAND COVERS CLASSIFICATION BASED ON RANDOM FOREST METHOD USING FEATURES FROM FULL-WAVEFORM LIDAR DATA.. Lian Ma, Mei Zhou,
The individual classification method assumes that each 3D point is independent and assigning a unique semantic label with local features automatically, which can
