کد مقاله کد نشریه سال انتشار مقاله انگلیسی ترجمه فارسی نسخه تمام متن
735172 893576 2010 4 صفحه PDF سفارش دهید دانلود رایگان
عنوان انگلیسی مقاله ISI
Building of robust multi-scale representations of LiDAR-based digital terrain model based on scale-space theory
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موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی برق و الکترونیک
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Building of robust multi-scale representations of LiDAR-based digital terrain model based on scale-space theory
چکیده انگلیسی

Scale-space theory is a framework originally developed for representing signal and imagery data at different scales through the re-sampling of the original data model. Such a framework allows for explicit, scale-invariant visualization and analysis of this type of data. The implementation of this theory in geospatial engineering is essential especially when processing a high-resolution digital terrain model (DTM) such as that produced from LiDAR data. This would allow for rapid retrieval, analysis, and display of the DTM at application-appropriate resolutions. The DTM is a means of representing the surface of the earth digitally, and it can be a Digital Elevation Model (DEM) or Triangular Irregular Network (TIN) model. DTMs can be produced from a variety of data types including photogrammetric, surveying, Global Positioning System (GPS), and Light Detection And Ranging (LiDAR) data. The availability and popularity of the LiDAR systems, which produce high intensity point clouds require the development of robust techniques for the retrieval, display, and analysis of the data model. This article presents a method based on cubic convolution for robust scale-space representation of DTMs created from LiDAR data.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Optics and Lasers in Engineering - Volume 48, Issue 3, March 2010, Pages 316–319
نویسندگان
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