Chen et al., 2014 - Google Patents
A methodology for automated segmentation and reconstruction of urban 3-D buildings from ALS point cloudsChen et al., 2014
View PDF- Document ID
- 10669405769269095037
- Author
- Chen D
- Zhang L
- Mathiopoulos P
- Huang X
- Publication year
- Publication venue
- IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
External Links
Snippet
In this paper, a methodology which allows automated and efficient reconstruction of three- dimensional (3-D) geometric building models from an Airborne Laser Scanning (ALS) point cloud is introduced and its performance is analyzed and evaluated. The proposed method …
- 238000000034 method 0 title abstract description 66
Classifications
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- G06T2207/10032—Satellite or aerial image; Remote sensing
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- G06T2207/20112—Image segmentation details
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- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/20—Image acquisition
- G06K9/34—Segmentation of touching or overlapping patterns in the image field
- G06K9/342—Cutting or merging image elements, e.g. region growing, watershed, clustering-based techniques
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- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
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- G06K9/46—Extraction of features or characteristics of the image
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