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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...
REMOTE SENSING IMAGE CLASSIFICATION APPLIED TO THE FIRST NATIONAL GEOGRAPHICAL INFORMATION CENSUS OF CHINA
Image Classification High-resolution Satellite Image Pattern Recognition
2016/11/23
Image classification will still be a long way in the future, although it has gone almost half a century. In fact, researchers have gained many fruits in the image classification domain, but there is s...
IMAGE QUATY ASSESSMENT FOR VHR REMOTE SENSING IMAGE CLASSIFICATION
Image quality assessment image texture analysis Image classification
2016/11/23
The data from remote sensing images are widely used for characterizing land use and land cover at present. With the increasing availability of very high resolution (VHR) remote sensing images, the rem...
ORGANIZATION AND REPRESENTATION OF OBJECTS IN MULTI-SOURCE REMOTE SENSING IMAGE CLASSIFICATION
Object-oriented data model Dynamic object representation Multisensor Geometric feature Spectral feature
2015/12/31
Compared with the traditional remote sensing image processing system based on pixel, there are some unique characters in the object-based classification: various operations on objects; variety of obje...
AN ALGORITHM FOR REMOTE SENSING IMAGE CLASSIFICATION BASED ON ARTIFICIAL IMMUNE B –CELL NETWORK
Pattern recognition Classifier Image Understanding Feature Recognition Land Cover
2015/12/23
In this paper a novel supervised classification algorithm (AIBN) for remote sensing image classification based on artificial immune B-Cell network is proposed. Even though some effective classifiers h...
The composition of the output layer architecture in a Back-Propagation (BP) neural network for remote sensing image classification
Neural Network Remote Sensing Classification Output Layer Architecture
2015/2/5
A Neural Network is treated as a data transformer when used for mapping purposes. The objective in this case, is to
associate the elements in one set of data with the elements in a second set. Accord...
Application of ECOC SVMS in Remote Sensing Image Classification
Remote Sensing Classification ECOC-SVMs Multi-class Classifier
2014/11/28
Image processing has been one of the efficient technologies for GIS data requisition. Support Vector Machines (SVMs) have peculiar advantages in handling problems with small sample sizes, nonlinearity...