搜索结果: 1-13 共查到“测绘科学技术 kernel”相关记录13条 . 查询时间(0.089 秒)
A KERNEL-BASED SIMILARITY MEASURING FOR CHANGE DETECTION IN REMOTE SENSING IMAGES
Change detection kernel function similarity measure probability density
2016/11/24
This paper presents a kernel-based approach for the change detection of remote sensing images. It detects change by comparing the probability density (PD), expressed as kernel functions, of the featur...
A KERNEL METHOD BASED ON TOPIC MODEL FOR VERY HIGH SPATIAL RESOLUTION (VHSR) REMOTE SENSING IMAGE CLASSIFICATION
VHSR remote sensing image Classification Support vector machine (SVM) Composite kernel Latent Dirichlet allocation (LDA) Structure Spatial Spectral
2016/11/23
A kernel-based method for very high spatial resolution remote sensing image classification is proposed in this article. The new kernel method is based on spectral-spatial information and structure inf...
KERNEL FEATURE CROSS-CORRELATION FOR UNSUPERVISED QUANTIFICATION OF DAMAGE FROM WINDTHROW IN FORESTS
Feature matching Kernel normalized cross-correlation Forest Support Vector Machines
2016/11/23
In this study estimation of tree damage from a windthrow event using feature detection on RGB high resolution imagery is assessed. An accurate quantitative assessment of the damage in terms of volume ...
HYPERSPECTRAL IMAGE KERNEL SPARSE SUBSPACE CLUSTERING WITH SPATIAL MAX POOLING OPERATION
Hyperspectral image nonlinear processing spatial max pooling SSC kernel
2016/7/28
In this paper, we present a kernel sparse subspace clustering with spatial max pooling operation (KSSC-SMP) algorithm for hyperspectral remote sensing imagery. Firstly, the feature points are mapped f...
COMPARATIVE EVALUATION OF PAVEMENT CRACK DETECTION USING KERNEL-BASED TECHNIQUES IN ASPHALT ROAD SURFACES
Mobile Mapping RGB Camera Road Crack Extraction Kernel-based Segmentation Feature Fusion
2016/7/5
With the increasing demand for the digital survey and acquisition of road pavement conditions, there is also the parallel growing need for the development of automated techniques for the analysis and ...
This paper extends kernel weighted GMM estimators recently proposed by the author in
the context of homoskedastic processes to a class of models with conditionally heteroskedastic
innovations. GMM e...
A distance-based kernel change detection algorithm
Change Detection distance measure kernel function
2015/8/21
This paper proposes a distance-based kernel change detection algorithm (DKCD). The input vectors from two images of different
times are mapped into a potentially much higher dimensional feature space...
Study of mixed kernel effect on classification accuracy using density estimation
Sub-Pixel Support Vector Machine (SVM) Mixed Kernel Function
2015/8/20
Support Vector Machines (SVMs) are a statistical learning theory based techniques and have been applied to different fields. For the
pattern recognition case, SVMs have been used for isolated handwri...
Gaussian Kernel Based Classification Approach for Wheat Identification
Temporal PCM Kernel Euclidean Norm (ED Norm) Weighted Constant Entropy
2014/12/15
Agriculture holds a pivotal role in context to India, which is basically agrarian economy. Crop type identification is a key issue for monitoring agriculture and is the basis for crop acreage and yiel...
A COMPARISON STUDY OF DIFFERENT KERNEL FUNCTIONS FOR SVM-BASED CLASSIFICATION OF MULTI-TEMPORAL POLARIMETRY SAR DATA
Full-polarimetric SAR data multi-temporal data SVM kernel functions cop classification
2014/12/1
In this paper, a framework is developed based on Support Vector Machines (SVM) for crop classification using polarimetric features extracted from multi-temporal Synthetic Aperture Radar (SAR) imagerie...
KERNEL-COMPOSITION FOR CHANGE DETECTION IN MEDIUM RESOLUTION REMOTE SENSING DATA
Change Detection Classification Landuse multispectral multitemporal Landsat
2014/4/29
A framework for multitemporal change detection based on kernel-composition is applied to a multispectral-multitemporal classification scenario, evaluated and compared to traditional change detection a...
Robust Metric based Anomaly Detection in Kernel Feature Space
Anomaly detection hyperspectral images Manhanlobis distance
2014/4/29
This thesis analyzes the anomalous measurement metric in high dimension feature space, where it is supposed the Gaussian assumption for state-of-art mahanlanobis algorithms is reasonable. The realizat...
Integrating model knowledge into SVM classification – Fusing hyperspectral and laserscanning data by kernel composition
hyperspectral airborne laserscanning data fusion support vector machine
2014/6/5
Roof materials are important sources of pollutants within cities.
To monitor and quantify polluted roof runoff, a precise classification approach of various roof material classes is needed. Wit...