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INTERVAL TYPE-2 FUZZY BASED NEURAL NETWORK FOR HIGH RESOLUTION REMOTE SENSING IMAGE SEGMENTATION
Interval Type-2 Fuzzy Model High Resolution Remote Sensing Image Footprint of Uncertainty Image Segmentation Neuron Networks
2016/11/23
Recently, high resolution remote sensing image segmentation is a hot issue in image procesing procedures. However, it is a difficult task. The difficulties derive from the uncertainties of pixel segme...
AN ENTROPY-KL STRATEGY FOR ESTIMATING NUMBER OF CLASSES IN IMAGE SEGMENTATION ISSUES
entropy KL information spiltting/merging number of classes image segmentation fuzzy clustering
2016/11/23
different classes, to estimate the number of classes in image segmentation issues. In this strategy, the information of a homogeneous region is measured by entropy. Then a region is considered to be d...
IMPROVEMENT AND EXTENSION OF SHAPE EVALUATION CRITERIA IN MULTI-SCALE IMAGE SEGMENTATION
Multi-scale Segmentation Shape Criterion Aspect Ratio Automatic Parameterization F-measure Object-based Image Analysis
2016/7/28
From the last decade, the multi-scale image segmentation is getting a particular interest and practically being used for object-based image analysis. In this study, we have addressed the issues on mul...
TEXTURE-BASED LIDAR GRAY IMAGE SEGMENTATION USING ARTIFICIAL NEURAL NETWORK
LiDAR Texture Artificial Neural Network (ANN) Classification Image segmentation
2016/3/17
Using artificial neural network， a synthetical image derived from light and ranging data was segmented based on the height texture and intensity texture measure. Focusing on a coastal area near ZhuHai...
COMPARATIVE RESEARCHES ON PROBABILISTIC NEURAL NETWORKS AND MULTI-LAYER PERCEPTRON NETWORKS FOR REMOTE SENSING IMAGE SEGMENTATION
Remote sensing Segmentation Probabilistic Neural Networks (PNNs) Multi-Layer Perception Networks (MLPNs)
2016/3/17
Image segmentation is one of the most important methods for extracting information of interest from remote sensing image data, but it still remains some problems, leading to low quality segmentation. ...
A REMOTE SENSING IMAGE SEGMENTATION METHOD BASED ON SPECTRAL AND STRUCTURE INFORMATION FUSION
Segmentation Mean Shift Information Fusion
2015/12/31
The focus of this paper is on the segmentation algorithm for the high resolution multispectral imagery to get regions which are roughly corresponding to land cover types. We propose the combination of...
FUZZY IMAGE SEGMENTATION FOR URBAN LAND-COVER CLASSIFICATION
Segmentation classifi cation land-cover image-regions image-objects fuzzy
2015/11/16
In this paper a general fuzzy approach for segmentation-based classification is proposed. Traditional segmentation techniques focus on
partitioning imagery into image-objects with well-deᤙ...
PLANAR FEATURE EXTRACTION IN TERRESTRIAL LASER SCANS USING GRADIENT BASED RANGE IMAGE SEGMENTATION
Terrestrial Laser Scanning Range Images Segmentation
2015/11/10
The paper presents a new segmentation algorithm, to be applied to terrestrial lasers scans of urban environments. The algorithm works directly in a range image. This is the fundamental laser scan data...
CHANGE DETECTION AND LAND USE/LAND COVER DATABASE UPDATING USING IMAGE SEGMENTATION,GIS ANALYSIS AND VISUAL INTERPRETATION
Land cover database Updating Uncertainty Image segmentation Visual interpretation
2015/9/21
This article presents a hybrid method that combines image segmentation, GIS analysis, and visual interpretation in order to detect discrepancies between an existing land use/cover map and satellite im...
EVALUATION OF REMOTE SENSING IMAGE SEGMENTATION QUALITY–FURTHER RESULTS AND CONCEPTS
Segmentation Quality Software Methods Comparison High resolution IKONOS
2015/8/19
Primarily due to the progresses in spatial resolution of satellite imagery, the methods of segment-based image analysis for generating and updating geographical information are becoming more and more ...
INTEGRATING TEXTURE FEATURES INTO A REGION-BASED MULTI-SCALE IMAGE SEGMENTATION ALGORITHM
Object Based Image Analysis Remote Sensing Multiresolution Co-Occurrence Matrix Angular Second Moment
2015/8/19
The objective of this research was the design and development of a region-based multi-scale segmentation algorithm with the integration of complex texture features, in order to provide a low level pro...
INFLUENCE OF IMAGE SEGMENTATION PARAMETERS ON POSITIONAL AND SPECTRAL QUALITY OF THE DERIVED OBJECTS
Segmentation IKONOS spectral quality positional quality Remote sensing
2015/8/19
With the launch of very high spatial resolution sensors, a good positional quality can be expected from spatial imagery. Furthermore,efficient segmentation algorithms can increase the productivity and...
High resolution remote sensing image segmentation based on graph theory and fractal net evolution approach
Image Segmentation Graph Based FNEA Merging Criterion
2015/7/27
Image segmentation is the foundation of further object-oriented image analysis, understanding and recognition. It is one of the key technologies in high resolution remote sensing applications. In this...
AUTOMATED TECHNIQUES FOR SATELLITE IMAGE SEGMENTATION
AUTOMATED TECHNIQUES SATELLITE IMAGE SEGMENTATION
2015/3/16
AUTOMATED TECHNIQUES FOR SATELLITE IMAGE SEGMENTATION.
LIKELIHOOD-BASED IMAGE SEGMENTATION AND CLASSIFICATION: CONCEPTS AND APPLICATIONS
Classification Knowledge Engineering Remote Sensing Segmentation
2014/12/31
This paper describes a likelihood-based segmentation and classification method for remotely sensed images. It is based on optimization of a utility function, described as a function of likelihood of a...