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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...
EXTENDED MULTISCALE IMAGE SEGMENTATION FOR CASTELLATED WALL MANAGEMENT
Castellated Wall Management Multiscale Image Segmentation Convex Hull Fitness Irregular-shape Index Stone Management Database Object-based Image Analysis
2018/6/5
Castellated walls are positioned as tangible cultural heritage, which require regular maintenance to preserve their original state. For the demolition and repair work of the castellated wall, it is ne...
SAR AND OBLIQUE AERIAL OPTICAL IMAGE FUSION FOR URBAN AREA IMAGE SEGMENTATION
Remote Sensing Urban Area Image Fusion Image Segmentation SAR RGB Image
2017/7/13
The fusion of synthetic aperture radar (SAR) and optical data is a dynamic research area, but image segmentation is rarely treated. While a few studies use low-resolution nadir-view optical images, we...
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. ...
EFFICIENT ROAD MAPPING VIA INTERACTIVE IMAGE SEGMENTATION
Automation Video Processing Incremental Learning Object Detection
2016/3/1
Last years witnessed the growth of demand for road monitoring systems based on image or video analysis. These systems usually
consist of a survey vehicle equipped with photo and video cameras, laser...
Optimization of Parameter Settings for Multilevel Image Segmentation in GEOBIA
parameter optimization segmentation quality geographic object-based image analysis (GEOBIA) area fitness rate (AFR) discrepancy goodness
2016/1/25
In geographic object-based image analysis (GEOBIA) segmentation plays a key role since all consequent classification steps depend
on its quality. For evaluating the quality empirical discrepancy and ...
MILCut: A Sweeping Line Multiple Instance Learning Paradigm for Interactive Image Segmentation
Sweeping Line Multiple Instance Learning Paradigm Interactive Image Segmentation
2016/1/22
Interactive segmentation, in which a user provides a bounding box to an object of interest for image segmenta-tion, has been applied to a variety of applications in im-age editing, crowdsourcing, comp...
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...
A Multiresolution Remotely Sensed Image Segmentation Method Combining Rainfalling Watershed Algorithm and Fast Region Merging
Multiresolution Image Segmentation Method Algorithms
2015/12/17
Nowadays object oriented image analysis becomes a hot issue in the field of image processing and interpretation because of its more robust noise removing ability, more abundant image features and expe...
An Accuracy Assessment Measure for Object Based Image Segmentation
Segmentation ASTRO BerkeleyImageSeg Ecognition Definiens
2015/12/17
Traditional approaches to accuracy assessment are inadequate for object oriented image processing. We tested some measures to assess the accuracy of object based image segmentation in a supervised con...
Multispectral IKONOS Image Segmentation Based on Vector Field Model
Land Cover Segmentation Image Processing Automation Feature Extraction Quickbird
2015/12/17
Image segmentation is a valuable approach that performs an object-based rather than a pixel-based analysis of high-spatial resolution satellite image. A multiscale approach for segmenting the pan-shar...