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ROAD NETWORK MAPPING USING AIRBORNE LiDAR DATA
Road Airborne Laser Scanning (ALS) Intensity
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
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
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...
New weather radar network in Dallas area to provide more frequent, precise storm data（图）
Dallas area New weather radar precise storm
2014/3/20
The Dallas-Fort Worth area becomes first in the nation to host this next generation of small, near-surface, fine-scale, rapidly updating weather radar developed by researchers at the Center for Collab...
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
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...