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COMPARISON OF PIXEL-BASED AND OBJECT-ORIENTED LAND COVER CHANGE DETECTION METHODS
Land Cover Change Detection Pixel-based Segmentation scale Object-oriented 30m resolution
2016/11/23
Change detection method is an efficient way in the aim of land cover product updating on the basis of the existing products, and at the same time saving lots of cost and time. Considering the object-o...
EFFECT OF PANSHARPENED IMAGE ON SOME OF PIXEL BASED AND OBJECT BASED CLASSIFICATION ACCURACY
Pan Sharpening Decision Tree Maximum Likelihood Support Vector Machine Object Based Classification Sun Flower Corn
2016/11/23
Classification is the most important method to determine type of crop contained in a region for agricultural planning. There are two types of the classification. First is pixel based and the other is ...
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...
Comparison of Pixel-based and Object-oriented Classification Methods for Extracting Built-up Areas in Aridzone
Remote Sensing Change Detection Built-Up Area Expansion Object-Oriented Classification
2015/10/12
This study focuses on the comparison between the classical and object-oriented image classifications of remote sensing imagery in
the arid area. Due to its special geographic environment and socio-e...
Urban land cover mapping using object/pixel-based data fusion and ikonos images
Remote Sensing Data Fusion Object/Pixel-Based Classification
2015/8/21
The use of high resolution IKONOS imagery should make it possible to extract urban features like buildings and roads more easily
than conventional satellite image data. This work examines the synerge...
Pixel-based sea ice classification using the magsic system
Snow Ice Segmentation Reasoning
2015/8/20
MAGSIC is an operation-oriented system in development dedicated to map-guided classification of sea ice for navigation route planning
and meteorological modelling. It has already produced promising r...
A COMPARISON OF OBJECT-ORIENTED AND PIXEL-BASED CLASSIFICATION APPROACHS USING QUICKBIRD IMAGERY
Object-oriented pixel-based Segmentation classification Quickbird
2015/8/10
Many studies have been carried out to find an appropriate method to classify the remote sensing data.Traditional classification approaches are all pixel-based, and do not utilize the spatial informati...
Comparison of Pixel-based and Object-oriented Classification Approaches Using Landsat-7 Etm Spectral Bands
Remote Sensing Land Cover Classification
2015/7/9
In this study, land cover types in Zonguldak test area were analysed on the basis of the classification results acquired using the pixelbased
and object-oriented image analysis approaches. Landsat-7 ...
UTILIZATION OF PISAR L-2 DATA FOR LAND COVER CLASSIFICATION IN FOREST AREA USING PIXEL-BASED AND OBJECT-BASED METHODS
PiSAR-L2 data Pixel-based method Object-based method
2015/5/6
Polarimetric and Interferometric Airborne SAR in L-band 2 (PiSAR-L2) program is an experimental program of PALSAR-2 sensor in ALOS-2 satellite. Japan Aerospace Exploration Agency (JAXA) and Indonesi...
UNMIXING OF MIXTURE PIXEL BASED ON THE CHROMATIC CHARACTERISTICS OF ENDMEMBER SPECTRA
Mixture Pixel Unmixing Imaging Spectrometer Chromatic Characteristics
2015/2/3
Unmixing of mixture pixel is a means of determining the relative abundances of materials depicted in hyperspectral
imagery based on the materials’ spectral characteristics. In linear spectral unmixin...
Context-adaptive Pixel Based Prediction for Intra Frame Encoding
Context-adaptive Pixel Based Prediction Intra Frame Encoding
2010/12/21
Intra prediction is one effective method to remove the spatial redundancies in intra frame coding. Better intra prediction will result in the residual with less energy, which
will decrease the number...
OBJECT-BASED CLASSIFICATION VS. PIXEL-BASED CLASSIFICATION: COMPARITIVE IMPORTANCE OF MULTI-RESOLUTION IMAGERY
LULC Feature Analyst Object-Based Classification Supervised Classification Unsupervised Classification PCA Multi Resolution
2014/6/12
Land Use/Land Cover (LULC) classifications have proven to be valuable assets for resource managers interested in landscape characteristics and the changes that occur over time. This study made a compa...
OBJECT-BASED VS PIXEL-BASED MAPPING OF FIRE SCARS USING MULTI-SCALE SATELLITE DATA
Burned area multi-scale IKONOS ASTER MODIS CART
2014/6/12
Assessment and mapping of burned areas using satellite data has been implemented so far at local, regional and global scale, by employing various image analysis techniques, according to the spectral a...
OPTICAL AND SAR IMAGERY FOR MAPPING VEGETATION GRADIENTS INBRAZILIAN SAVANNAS: SYNERGY BETWEEN PIXEL-BASED AND OBJECT-BASED APPROACHES
Indeterminate boundaries SegSAR CART ALOS-PALSAR Landsat-TM Cerrado Biome
2014/6/12
The objectives of this study were (a) to evaluate the suitability of SAR imagery for discriminating savanna physiognomies, (b) to combine SAR and optical imagery for achieving improved accurac...
A COMPARISON OF THE PERFORMANCE OF PIXEL-BASED AND OBJECT-BASED CLASSIFICATIONS OVER IMAGES WITH VARIOUS SPATIAL RESOLUTIONS
Pixel-based image analysis Object-based image analysis
2015/11/16
In the last two decades, advances in computer technology, earth observation sensors and GIS science, led to the development of
“Object-based Image Analysis (OBIA)” as an alternative to the tradition...