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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...
Further Investigations on Segmentation Quality Assessment for Remote Sensing Applications
segmentation accuracy assessment discrepancy method segment boundary boundary delineation VHR segmentbased
2016/1/25
Object-oriented or segment-based classification approaches for remote sensing applications integrate not only the spectral signature but
also shape and topological characteristics of segments. To use...
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 ...
MAPPING POST-OLYMPICS URBAN USE CHANGE IN THE PERIPHERY OF ATHENS USING MULTI-TEMPORAL PIXEL-BASED AND SEGMENTATION TECHNIQUES
Urban Use Change Detection Classification Monitoring Landsat Object Oriented Segmentation Multitemporal
2016/1/3
The city of Athens, Greece, was given the go-ahead to host the 2004 Olympic Games in 1996. Considerable land cover/use changes (LUCC), principally conversions to urban land use from other types, assoc...
A REGION-BASED TECHNIQUE FOR FUSION OF HIGH RESOLUTION IMAGES USING MEAN SHIFT SEGMENTATION
Image processing Sharpening Image understanding Fusion Geography
2015/12/31
This paper describes a region-based technique for fusion of high-resolution images. In this technique, mean shift segmentation is adopted to extract the features for high resolution image as a substit...
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...
FIELD-ORIENTED ASSESSMENT OF AGRICULTURAL CROPS THROUGH TEMPORAL SEGMENTATION OF MODIS VI DATA
Multi-Temporal Image Processing Land Use Crop Mapping Image Understanding Satellite Remote Sensing
2015/12/31
Monitoring agricultural crops constitutes a vital task for the general understanding of land use spatio-temporal dynamics. This paper presents an approach for the enhancement of current crop monitorin...
REGION BASED SEGMENTATION OF QUICKBIRD IMAGERY THROUGH FUZZY INTEGRATION
Remote Sensing Segmentation Algorithms Fuzzy Logic Quickbird Land Cover Imagery
2015/12/31
The automatic segmentation of land cover features, within very high resolution (VHR) satellite imagery, is a complex task which is important to geo-spatial applications such as urban planning, crop mo...
CONTRIBUTION TO THE ASSESSMENT OF SEGMENTATION QUALITY FOR REMOTE SENSING APPLICATIONS
Image processing classification image understanding feature extraction land cover segmentation accuracy assessment
2015/12/31
Within object-oriented or segment-based classification approaches the segmentation step is decisive, because the results form the basis for the following classification. Despite known investigations a...
A NOVEL EDGE-DETECTION BASED SEGMENTATION ALGORITHM FOR POLARIMETRIC SAR IMAGES
Pattern Recognition Segmentation Image understanding Feature extraction Land Cover
2015/12/30
Aiming at overcoming the disadvantages of the algorithm proposed by White, R. G. (RGW) and making it applicable for PolSAR data classification, a novel edge-detection algorithm based on segmentation f...
WEIGHTED PYRAMID LINKING FOR SEGMENTATION OF FULLY-POLARIMETRIC SAR DATA
SAR Segmentation Polarization Algorithms Multiresolution Spatial
2015/12/30
Image segmentation has the general goal to define regions within an image, in which all pixels have similiar properties. For fully-polarimetric SAR data this is often done by spectral classification w...
LANE-ORIENTED 3D DYNAMIC SEGMENTATION METHOD
Dynamic Segmentation Lane Ribbon 3D GIS VGEs Lane-oriented Road Network Model
2015/12/23
Dynamic segmentation is a method that facilitates the small areas along a line feature to be referenced without actually breaking the line into pieces. However, the current dynamic segmentation method...
ACCURACY OF CROWN SEGMENTATION AND ESTIMATION OF SELECTED TREES AND FOREST STAND PARAMETERS IN ORDER TO RESOLUTION OF USED DSM AND NDSM MODELS GENERATED FROM DENSE SMALL FOOTPRINT LIDAR DATA
Airborne Scanner System Segmentation Aerial photogrammetry Comparative analysis Forestry
2015/12/23
The purpose of this study is to categorize how different surface model resolutions impact the estimation of trees and forest stands parameters: number of recognized trees, crown area, treetop location...
An Efficient Multi-Scale Segmentation for High-Resolution Remote Sensing Imagery Based on Statistical Region Growing and Minimum-Heterogeneity Rule
Multi-scale Segmentation High-Resolution Statistical Region Merging (SRM)
2015/12/17
Multi-scale segmentation is an essential step toward higher level image processing in remote sensing. This paper presents a new multi-scale segmentation method based on Statistical Region Merging (SRM...