AUTOMATIC CLASSIFICATION OF TREES FROM LASER SCANNING POINT CLOUDS
نویسندگان
چکیده
منابع مشابه
Automated Classification of Airborne Laser Scanning Point Clouds
Making sense of the physical world has always been at the core of mapping. Up until recently, this has always dependent on using the human eye. Using airborne lasers, it has become possible to quickly “see” more of the world in many more dimensions. The resulting enormous point clouds serve as data sources for applications far beyond the original mapping purposes ranging from flooding protectio...
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Tunnel lining (bare-lining) cross-sections play an important role in analyzing deformations of tunnel linings. The goal of this paper is to develop an automatic method for extracting bare-lining cross-sections from terrestrial laser scanning (TLS) point clouds. First, the combination of a 2D projection strategy and angle criterion is used for tunnel boundary point detection, from which we estim...
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Those street trees which dangerously overhang the sidewalks and public roads may distract visibility of road signs and lamps or even injure pedestrians. Monitor vegetation encroachment using mobile laser system is one efficient measure for vegetation growth management and preventing accidents above under low labor costs. This paper presents a new workflow for automated detection of street trees...
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It is well known that characteristics of individual trees, such as tree height, biomass and crown area, can be derived from airborne laser scanning (ALS) and that heights for individual trees can be obtained with an accuracy of 0.5 to 1.5 m. However, the ability to measure the growth of individual trees using ALS has not been documented. This paper reports multi-temporal laser surveys conducted...
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ژورنال
عنوان ژورنال: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
سال: 2015
ISSN: 2194-9050
DOI: 10.5194/isprsannals-ii-3-w5-137-2015