搜索结果: 1-13 共查到“信息与通信工程 Filtering”相关记录13条 . 查询时间(0.043 秒)
APPLICABILITY ANALYSIS OF CLOTH SIMULATION FILTERING ALGORITHM FOR MOBILE LIDAR POINT CLOUD
LiDAR point cloud Cloth simulation filtering Mobile laser scanning Ground points Non-ground points
2018/5/11
Classifying the original point clouds into ground and non-ground points is a key step in LiDAR (light detection and ranging) data post-processing. Cloth simulation filtering (CSF) algorithm, which bas...
LIDAR FILTERING ALGORITHMS FOR URBAN FLOOD APPLICATION: REVIEW ON CURRENT ALGORITHMS AND FILTERS TEST
LiDAR Filtering Algorithm Digital terrain model (DTM) Urban flood modelling Classification Urban Flood
2016/2/29
Digital terrain model (DTM) is one of the important input parameters in urban flood application. This is because it influences the
flow direction, flow velocity, flood extend and flood depth. LiDAR ...
Bare Earth Extraction from Airborne LIDAR Data Using Different Filtering Methods
LIDAR Point Cloud Classification DTM Landscape Segmentation
2015/12/8
Over the past years, several filters have been developed to extract bare-Earth points from airborne laser scanner data. we conducted a test to determine the performance of three different filters and ...
Data Filtering and Feature Extraction of Urban Typical Objects from Airborne LIDAR Point Cloud
LIDAR Filtering Aerial Survey Feature Extraction Buildings Airborne Scanner Systems Urban Planning
2015/12/8
The research in the detection and feature extraction of typical objects in urban areas has intensified. In existing detection technologies, it has been shown that the LIDAR technique is very promising...
Quality Control Method for Filtering in Aerial LIDAR Survey
LIDAR Filtering QC/QA map Shaded Relief Ground Point Data Original Point Data
2015/11/20
The purpose of filtering LIDAR data is to extract the laser points which are truly reflected from the bare ground. However, the results obtained may vary since several engineers are involved in the ma...
l1 trend filtering
detrending !1 regularization Hodrick–Prescott fi ltering piecewise linear fitting sparse signal recovery feature selection time series analysis trend estimation
2015/8/10
The problem of estimating underlying trends in time series data arises in a variety of disciplines. In this paper we propose a variation on Hodrick-Prescott (H-P) filtering, a widely used method for t...
Optimal crowd-powered rating and filtering algorithms
Filtering building materials application system implicit assumptions and limits
2015/8/7
We focus on crowd-powered filtering, i.e., filtering a large set of items using humans. Filtering is one of the most commonly used building blocks in crowdsourcing applications and systems. While solu...
Optimal Filtering in Pilot-Aided Carrier Recovery
Optimal Filtering Pilot-Aided Carrier Recovery
2009/9/4
The paper deals with carrier recovery based on pilot symbols in single-carrier systems. Wiener's method is used to determine the optimal unconstrained filter in estimation of phase noise assuming that...
FILTERING OF ARTIFACTS AND PAVEMENT SEGMENTATION FROM MOBILE LIDAR DATA
LIDAR point cloud fi ltering ground data segmentation ground data mathematical morphology
2016/2/29
This paper presents an automatic method for filtering and segmenting 3D point clouds acquired from mobile LIDAR systems. Our
approach exploits 3D information by using range images and several m...
An edge-based median filtering algorithm with consideration of motion vector reliability for adaptive video deinterlacing
filtering algorithm motion vector reliability
2010/12/16
Because of its ability to preserve signal edges while filtering out impulsive noises, median filtering is widely used in signal processing applications, e.g. deinterlacing. An edgebased
median filter...
MINIMIZING THE ERROR TRACKING OF MOBILE TERMINALS BY KALMAN FILTERING
cellular networks Kalman filtering position tracking
2010/1/12
A method to track mobile terminals in a cellular communication network is presented. It uses the received field strength from the surrounding base stations. A subsequent Kalman filtering is used to mi...
A ROBUST METHOD FOR FILTERING NON-GROUND MEASUREMENTS FROM AIRBORNE LIDAR DATA
LIDAR, DEM/DTM Data Surface Detection
2015/6/1
This paper proposes a new filtering method of non-ground measurements from airborne LIDAR data through a Simultaneous
AutoRegressive (SAR) analytical model and exploiting a Forward Search (FS) algor...
Review on Structure Detection and Speckle Filtering on ERS-1 Images
Review on Structure Detection Speckle Filtering ERS-1 Images
2014/4/15
Review on Structure Detection and Speckle Filtering on ERS-1 Images。