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ROAD NETWORK MAPPING USING AIRBORNE LiDAR DATA
Road Airborne Laser Scanning (ALS) Intensity
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2019/2/28
The accurate, detailed and up-to-date road information is highly essential geo-spatial databases for transportation, smart city and other related applications. Thus, the main objective of this researc...
ABOVEGROUND BIOMASS ESTIMATION USING RECONSTRUCTED FEATURE OF AIRBORNE DISCRETE-RETURN LIDAR BY AUTO-ENCODER NEURAL NETWORK
Aboveground Biomass (AGB) Estimation Discrete-Return LiDAR Regression Auto-Encoder Neural Network
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2018/5/14
Aboveground biomass (AGB) estimation is critical for quantifying carbon stocks and essential for evaluating carbon cycle. In recent years, airborne LiDAR shows its great ability for highly-precision A...
STUDY ON THE CLASSIFICATION OF GAOFEN-3 POLARIMETRIC SAR IMAGES USING DEEP NEURAL NETWORK
SAR Classification Deep Learning GoogLeNet Landcover Gaofen-3 satellite
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2018/5/16
Polarimetric Synthetic Aperture Radar（POLSAR） imaging principle determines that the image quality will be affected by speckle noise. So the recognition accuracy of traditional image classification met...
A ROBUST METHOD USED WITH ORTHOGONAL POLYNOMIALS AND ROAD NETWORK FOR AUTOMATIC TERRAIN SURFACE EXTRACTION FROM LIDAR DATA IN URBAN AREAS
LIDAR DTM ALGORITHMS EXTRACTION
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2015/6/1
The data provided by LIDAR systems are presented in a dense, accurate three-dimensional form without point classification, such as
buildings, trees roads, terrain, etc. The principal objective of th...