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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...
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 ...
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...
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...
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...
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...
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...
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 ...
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 is a means of determining the relative abundances of materials depicted in hyperspectral imagery based on the materials spectral characteristics. In linear spectral unmixin...
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...
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...
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...
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...

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