Testing space-scale methodologies for automatic geomorphic feature extraction from lidar in a complex mountainous landscape
نویسندگان
چکیده
منابع مشابه
Automatic geomorphic feature extraction from lidar in flat and engineered landscapes
[1] High-resolution topographic data derived from light detection and ranging (lidar) technology enables detailed geomorphic observations to be made on spatially extensive areas in a way that was previously not possible. Availability of this data provides new opportunities to study the spatial organization of landscapes and channel network features, increase the accuracy of environmental transp...
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Recent developments of optical space sensors enable us to use high resolution space images for topographic mapping. Geometric and radiometric resolution are the major factors for identification of objects in space images. Panchromatic and pan-sharpened images of IKONOS and QuickBird, and panchromatic OrbView-3 image are investigated in this study. The feature extraction is performed by manual a...
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An automatic method for the extraction of feature points for face based applications is proposed. The system is based upon volumetric feature descriptors, which in this paper has been extended to incorporate scale space. The method is robust to noise and has the ability to extract local and holistic features simultaneously from faces stored in a database. Extracted features are stable over a ra...
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Abstract: LIDAR, or laser scanning, is capable of collecting accurate 3D coordinates of scanned points densely and sub-randomly distributed on scanned object surfaces. The huge amount of 3D points implies abundant recessive spatial information which can be turned into dominant information through various data processing methods. To explore valuable spatial information from LIDAR data automatica...
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ژورنال
عنوان ژورنال: Water Resources Research
سال: 2010
ISSN: 0043-1397
DOI: 10.1029/2009wr008812