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AUTOMATIC RECONSTRUCED ROOF SHAPES FOR LIDAR STRIP ADJUSTMENT AND QUALITY CONTROL
LIDAR Reconstruction Adjustment Building Point Cloud Quality
2016/2/29
In the recent years, the performance of LiDAR systems was improved by acquisition of the terrain surface with steadily increasing
point densities. However, the main error sources affecting the quali...
Tie Voxel Method and Its Quality for 3D Airborne LIDAR Block Adjustment
Methods LIDAR Matching Error Transformation Three-dimensional Block
2015/12/8
For achieving high-quality LIDARgrammetry and performing surface reconstruction by 3D point clouds acquired at different locations or in different coordinate systems, a novel method was proposed and i...
Least Squares Matching with Airborne LIDAR Data for Strip Adjustment
Least squares matching (LSM) Airborne LIDAR Multi-strip matching
2015/12/8
Matching is of great importance in photogrammetry and remote sensing and it is applied in many areas such as registration、DEM generation and so on. As a new type of airborne remote sensing sensor, Air...
LIDAR Strip Adjustment using Conjugate Linear Features in Overlapping Strips
LIDAR Adjustment Semi-Automation Matching Accuracy
2015/11/20
LiDAR (Light Detection And Ranging) is a multisensory system consisting of three main components: laser, GPS, and IMU units. The basic principle is to measure distances from the sensor to the ground b...
Adjustment and transformation strategies of ItalPoS Permanent GNSS Network
GNSS Permanent Network Globk Adjustment Strategies Boucher Altamimi transformation
2015/8/28
A private network of 133 Global Navigation Satellite Systems (GNSS) permanent sites, named ItalPoS (Italian Positioning Service) and uniformly covering the entire Italian territory, was established in...
ROBUST LEAST-SQUARES ADJUSTMENT BASED ORIENTATION AND AUTO-CALIBRATION OF WIDE-BASELINE IMAGE SEQUENCES
ADJUSTMENT BASED AUTO-CALIBRATION
2015/8/14
In this paper we propose a strategy for the orientation and auto-calibration of wide-baseline image sequences. Our
particular contribution lies in demonstrating, that by means of robust least-squares...