Automatic CORINE land cover classification from airborne LIDAR data
نویسندگان
چکیده
منابع مشابه
Airborne Dual-Wavelength LiDAR Data for Classifying Land Cover
This study demonstrated the potential of using dual-wavelength airborne light detection and ranging (LiDAR) data to classify land cover. Dual-wavelength LiDAR data were acquired from two airborne LiDAR systems that emitted pulses of light in near-infrared (NIR) and middle-infrared (MIR) lasers. The major features of the LiDAR data, such as surface height, echo width, and dual-wavelength amplitu...
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The rapid development of the airborne LiDAR systems paves the way for the use of the LiDAR technology in different bathymetric and topographic applications. LiDAR has been used effectively for digital terrain/surface modelling by measuring the range from the sensor to the earth surface. Information can be extracted on the geometry of the scanned features (e.g. buildings, roads) or surfaces elev...
متن کاملFusion of Airborne Discrete-Return LiDAR and Hyperspectral Data for Land Cover Classification
Accurate land cover classification information is a critical variable for many applications. This study presents a method to classify land cover using the fusion data of airborne discrete return LiDAR (Light Detection and Ranging) and CASI (Compact Airborne Spectrographic Imager) hyperspectral data. Four LiDAR-derived images (DTM, DSM, nDSM, and intensity) and CASI data (48 bands) with 1 m spat...
متن کاملMultispectral LiDAR Data for Land Cover Classification of Urban Areas
Airborne Light Detection And Ranging (LiDAR) systems usually operate at a monochromatic wavelength measuring the range and the strength of the reflected energy (intensity) from objects. Recently, multispectral LiDAR sensors, which acquire data at different wavelengths, have emerged. This allows for recording of a diversity of spectral reflectance from objects. In this context, we aim to investi...
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ژورنال
عنوان ژورنال: Procedia Computer Science
سال: 2018
ISSN: 1877-0509
DOI: 10.1016/j.procs.2018.07.222