搜索结果: 1-15 共查到“信息与通信工程 Feature”相关记录27条 . 查询时间(0.093 秒)
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...
DATUM FEATURE EXTRACTION AND DEFORMATION ANALYSIS METHOD BASED ON NORMAL VECTOR OF POINT CLOUD
Deformation Analysis Point Cloud Normal Vecto Datum Feature Cubic B-spline Curve
2018/5/15
In order to solve the problem lacking applicable analysis method in the application of three-dimensional laser scanning technology to the field of deformation monitoring, an efficient method extractin...
EARTHQUAKE BUILDING DAMAGE MAPPING BASED ON FEATURE ANALYZING METHOD FROM SYNTHETIC APERTURE RADAR DATA
Building Damage Assessment Earthquake Emergency Feature Analysing SAR
2018/5/11
Playing an important role in gathering information of social infrastructure damage, Synthetic Aperture Radar (SAR) remote sensing is a useful tool for monitoring earthquake disasters. With the wide ap...
Study on the Target Feature Extraction from LIDAR Point Clouds
LIDAR Point Cloud Feature Extraction Edge Detection Digital Image Processing
2015/12/8
With the rapid development of remote sensing technology, three dimensional coordinates and intensity information of observation target can be obtained directly from LIDAR system. It is one of the impo...
Feature-Based Registration of Ground-Based LIDAR Point Clouds
Terrestrial LIDAR Multiple features Registration Similarity transformation Simultaneous adjustment
2015/12/8
Complete scene description by using terrestrial LIDAR systems usually requires multiple scans from different stations. Point cloud of each scan is associated to its own coordinate system on a station ...
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...
Knowledge Discovery by Spatial Clustering Based on Self-Organizing Feature Map and a Composite Distance Measure
Self-Organizing Feature Map Spatial Clustering Knowledge Discovery Data Mining
2015/12/2
This paper proposes a spatial clustering model based on self-organizing feature map and a composite distance measure, and studies the knowledge discovery from spatial database of spatial objects with ...
Research on Change-of-Feature Based Spatio-Temopral Object Relational Model
Feature Feature Change Event State Orient-Relational Data Model Spatio-Temporal Data Model
2015/12/1
The spatio-temporal data is our cognition to external matter and the spatio-temporal data model is the fundamental basic to manage the spatio-temporal data. The spatio-temporal object is always changi...
Linear Feature Extraction of Buildings from Terrestrial LIDAR Data with Morphological Techniques
LIDAR Terrestrial Feature Extraction Edge Detection Building
2015/11/20
LiDAR has been a major interest of photogrammetry to acquire three dimensional objects. It has shown its promising capabilities in building virtual reality applications, such as virtual campus and vir...
Successive pattern learning based on test feature classifier and its application to dynamic recognition problems
classifi cation test feature classifi er successive learning dynamic recognition problem
2015/8/25
Fundamental characteristics of successive lerarning by Test Feature Classifier(TFC), which is non-parametric and effective with small data, are examined. In the learning, a new set of training o...
Hopfield Networks in Relevance and Redundancy Feature Selection Applied to Classification of Biomedical High-Resolution Micro-CT Images
feature selection image features pattern classification
2015/7/28
We study filter–based feature selection methods for classification of biomedical images. For feature selection, we use two filters — a relevance filter which measures usefulness of individual features...
HEURISTICAL FEATURE EXTRACTION FROM LIDAR DATA AND THEIR VISUALIZATION
LIDAR segmentation feature extraction visualization
2014/6/5
Extraction of landscape features from LiDAR data has been studied widely in the past few years. These feature extraction methodologies have been focussed on certain types of features only, namely the ...
Robust Visual Tracking Using Feature-based Visual Attention
Robust Visual Tracking Feature-based Visual Attention
2010/12/21
Psychophysical findings have shown that human vision system has an ability to improve target search by enhancing the representation of image components that are related to the
searched target, which ...
Robust Background Modeling via Standard Variance Feature
Robust Background Modeling Standard Variance Feature
2010/12/21
In this paper, a novel standard variance feature is proposed for background modeling in dynamic scenes involving waving trees and ripples in water. The standard variance
feature is the standard varia...
A FEATURE BASED APPROACH TO AUTOMATIC CHANGE DETECTION FROM LIDAR DATA IN URBAN AREAS
LIDAR Change Detection Classification Segmentation
2016/2/29
Automatic change detection particularly in urban areas is the important tools for their management and planning. This paper presents
a feature based method to detect changes in urban area using two ...