搜索结果: 1-15 共查到“Feature”相关记录77条 . 查询时间(0.354 秒)
ON THE ESTIMATION OF POLARIMETRIC PARAMETERS FOR OIL SLICK FEATURE DETECTION FROM HYBRID POL AND DERIVED PSEUDO QUAD POL SAR DATA
SAR RISAT-1 CTLR pseudo-quad pol correlation coefficient sigma naught
2018/11/19
Oil spills in oceans have a significant long term effect on the marine ecosystem and are of prime concern for maritime economy. In order to locate and estimate the oil spread area and for quantitative...
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
2018/4/30
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
2018/4/30
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
2018/4/30
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...
PURIFICATION OF TRAINING SAMPLES BASED ON SPECTRAL FEATURE AND SUPERPIXEL SEGMENTATION
Beijing-2 Satellite imagery Training Samples Purification Spectral Feature Superpixel Segmentation
2018/4/30
Remote sensing image classification is an effective way to extract information from large volumes of high-spatial resolution remote sensing images. Generally, supervised image classification relies on...
FEATURE MATCHING OF HISTORICAL IMAGES BASED ON GEOMETRY OF QUADRILATERALS
historical images image orientation feature matching descriptor matching quadrilaterals geometry
2018/3/30
This contribution shows an approach to match historical images from the photo library of the Saxon State and University Library Dresden (SLUB) in the context of a historical three-dimensional city mod...
FEATURE VECTOR CONSTRUCTION METHOD FOR IRIS RECOGNITION
Iris recognition Iris feature extraction Biometrics Mobile biometrics Quantization Encoding
2017/5/15
One of the basic stages of iris recognition pipeline is iris feature vector construction procedure. The procedure represents the extraction of iris texture information relevant to its subsequent compa...
Deep Learning of Feature Representation with Multiple Instance Learning for Medical Image Analysis
deep learning feature learning supervised un- supervised multiple instance learning
2016/1/22
This paper studies the effectiveness of accomplishing high-level tasks with a minimum of manual annotation and good feature rep-resentations for medical images. In medical image analysis, objects like...
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 ...
An Approach from Point Cloud plus Feature Data to Grid DEM
DEM LIDAR Point Cloud Feature Data Pattern Recognition
2015/12/8
Data sets acquired by LIDAR consist of land surface information and non-surface information, through some filter methods can get rid of non-surface information, but leave behind non-data area, some im...
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...