搜索结果: 1-15 共查到“理学 Segmentation”相关记录33条 . 查询时间(0.109 秒)
MULTISPECTRAL PANSHARPENING APPROACH USING PULSE-COUPLED NEURAL NETWORK SEGMENTATION
Pansharpening PCNN Image Fusion Multispectral Imaging Remote Sensing Segmentation
2018/5/14
The paper proposes a novel pansharpening method based on the pulse-coupled neural network segmentation. In the new method, uniform injection gains of each region are estimated through PCNN segmentatio...
THE STUDY OF RESIDENTIAL AREAS EXTRACTION BASED ON GF-3 TEXTURE IMAGE SEGMENTATION
Residential Areas Extraction GF-3, Backscattering Coefficient Image Filtering Texture Feature, Image Segmentation
2018/5/15
The study chooses the standard stripe and dual polarization SAR images of GF-3 as the basic data. Residential areas extraction processes and methods based upon GF-3 images texture segmentation are com...
SEMANTIC SEGMENTATION OF CONVOLUTIONAL NEURAL NETWORK FOR SUPERVISED CLASSIFICATION OF MULTISPECTRAL REMOTE SENSING
Semantic Segmentation Multi Spectral Remote Sensing Convolutional Neural Network U-net multi-scale image
2018/5/16
Semantic segmentation is a fundamental research in remote sensing image processing. Because of the complex maritime environment, the classification of roads, vegetation, buildings and water from remot...
COASTLINE DETECTION USING FUSION OF OVER SEGMENTATION AND DISTANCE REGULARIZATION LEVEL SET EVOLUTION
Coastline DRLSE FOOS K-means Clustering Sea-land Segmentation Wavelet Transform
2018/4/18
Coastline detection is a very challenging task in optical remote sensing. However the majority of commonly used methods have been developed for low to medium resolution without specification of the ke...
COASTLINE DETECTION USING FUSION OF OVER SEGMENTATION AND DISTANCE REGULARIZATION LEVEL SET EVOLUTION
Coastline DRLSE FOOS K-means Clustering Sea-land Segmentation Wavelet Transform
2018/5/8
Coastline detection is a very challenging task in optical remote sensing. However the majority of commonly used methods have been developed for low to medium resolution without specification of the ke...
3D BUILDING MODELS SEGMENTATION BASED ON K-MEANS++ CLUSTER ANALYSIS
3D model segmentation cluster segmentation 3D building model K-means++ cluster
2016/10/14
3D mesh model segmentation is drawing increasing attentions from digital geometry processing field in recent years. The original 3D mesh model need to be divided into separate meaningful parts or surf...
3D GEOMARKETING SEGMENTATION: A HIGHER SPATIAL DIMENSION PLANNING PERSPECTIVE
Geomarketing Market Segmentation Geo-Clustering 3D Spatial Database 3D GIS Information Retrieval
2016/10/14
Geomarketing is a discipline which uses geographic information in the process of planning and implementation of marketing activities. It can be used in any aspect of the marketing such as price, promo...
MULTILEVEL OBJECT BASED IMAGE CLASSIFICATION OVER URBAN AREA BASED HIERARCHICAL IMAGE SEGMENTATION AND INVARIANT MOMENTS
hierarchical segmentation shape object-based classification invariant moments
2015/11/16
With the availability of very high resolution multispectral imagery from sensors such as IKONOS and Quickbird, it is possible to
identify small-scale features in urban environment. Because of the mu...
A SEGMENTATION PROCEDURE OF LIDAR DATA BY APPLYING MIXED PARAMETRIC AND NONPARAMETRIC MODELS
LIDaR data segmentation process parametric and nonparametric models
2015/8/13
The paper proposes a segmentation procedure inspired to a robust LIDaR filtering data method recently introduced by the authors.
The method is based on the application of a Simultaneous AutoRegressi...
SEGMENTATION BASED ROBUST INTERPOLATION – A NEW APPROACH TO LASER DATA FILTERING
Laser scanning Filtering Segmentation
2015/8/13
a general strategies for solving the problem – for filtering can be identified. The first work directly on the measured points and
geometric criteria are used for the decision, if a point is on the g...
Segmentation of ARX-models using sum-of-norms regularization
Segmentation Regularization ARX-models
2015/8/7
Segmentation of time-varying systems and signals into models whose parameters are piecewise constant in time is an important and well studied problem. It is here formulated as a least-squares problem ...
BRANCH-BASED REGION GROWING METHOD FOR BLOOD VESSEL SEGMENTATION
Segmentation MRA MIP Blood Vessel Region Growing
2015/6/2
We propose an algorithm of blood vessel segmentation for MRA data in this paper. The generic region growing, as well as
thresholding, is not appropriate to extract the whole part of the vessels on M...
URBAN MODELING BASED ON SEGMENTATION AND REGULARIZATION OF AIRBORNE LIDAR POINT CLOUDS
idar Building reconstruction Urban area modelling
2015/6/1
This paper presents an approach to process raw lidar 3-D point clouds over urban area and extract terrain, buildings and other urban
features. In the initial step, “non-ground points” are separated ...
Primary Mirror Segmentation Studies for the Thirty Meter Telescope
mirror segment segmentation
2015/5/12
The Thirty Meter Telescope (TMT) project, a partnership between ACURA, Caltech, and the University of California, is
currently developing a 30-meter diameter optical telescope. The primary mirror wi...
Segmentation of the Izu-Bonin and Mariana slabs based on the analysis of the Benioff seismicity distribution and regional tomography results
Model the mantle mariana arc travel around the world
2015/1/5
We present a new model of P and S velocity anomalies in the mantle down to a depth of 1300 km beneath the Izu-Bonin and Mariana (IBM) arcs. This model is derived based on tomographic inversion of glob...