Big data; sensor networks and remotely-sensed data for mapping; feature extraction from lidar
نویسندگان
چکیده
منابع مشابه
Reclaimed Areas Mapping by Remotely Sensed Data
In the last decade several mining areas and corresponding dumps are subject to reclamation process in Bulgaria. We focused our research on one of the most important in the copper production for 20 year period for our country – Medet deposit. This mining complex consists of an open cast mine, the overburden dumps and a processing plant. After ceasing its exploitation in 1994 a rehabilitation pro...
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متن کامل248 Remotely Sensed Data Characterization
EMPs Extended morphological profiles EMPs Extended morphological profiles LDA Linear discriminant analysis LogDA Logarithmic discriminant analysis MLR Multinomial logistic regression MLRsubMRF Subspace-based multinomial logistic regression followed by Markov random fields MPs Morphological profiles MRFs Markov random fields PCA Principal component analysis QDA Quadratic discriminant analysis RH...
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Natural disasters can severely impact transportation networks. In the hours and days following a major flooding event, knowing the location and extent of the damage is crucial for incident managers for a number of reasons: it allows for emergency vehicle access to affected areas; it facilitates the efficient rerouting of traffic; it raises the quality and reduces the cost of repairs; and it all...
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Boreal peatlands play a major role in carbon and water cycling and other global environmental processes but understanding this role is constrained by inconsistent representation of peatlands on, or omission from, many global land cover maps. The comparison of several widely used global and continental-scale databases on peat-5 land distribution with a detailed map for the St. Petersburg region ...
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ژورنال
عنوان ژورنال: Proceedings of the ICA
سال: 2018
ISSN: 2570-2092
DOI: 10.5194/ica-proc-1-113-2018