نتایج جستجو برای: based image processing
تعداد نتایج: 3449930 فیلتر نتایج به سال:
Describing and quantifying the spatial heterogeneity of land cover in urban systems is crucial for developing an ecological understanding of cities. This paper presents a new approach to quantifying the fine-scale heterogeneity in urban landscapes that capitalizes on the strengths of two commonly used approaches—visual interpretation and object-based image analysis. This new approach integrates...
We will describe a method for classifying images which has been applied to the Popocatépetl Volcano’s images. The Popocatépetl, located in the limits of the State of Puebla in México, is active and under monitoring since 1997. The method we describe applies Image Based Reasoning (IBR), a combination of Case Based Reasoning (CBR) and Image Processing and
Remote sensing technology is one of the most efficient and innovative technologies for agricultural land use/cover mapping. In this regard, the object-based Image Analysis (OBIA) is known as a new method of satellite image processing which integrates spatial and spectral information for satellite image process. This approach make use of spectral, environmental, physical and geometrical characte...
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N o v e m b e r 2 0 1 3 1027 Abstract Recent advancements in remote sensing technology have provided a plethora of very high spatial resolution images. From pixel-based processing designed for low spatial resolution data, image processing has shifted towards object-based analysis in order to adapt to the hyperspatial nature of currently available remote sensing data. However, standard object-ba...
Image zooming is one of the current issues of image processing where maintaining the quality and structure of the zoomed image is important. To zoom an image, it is necessary that the extra pixels be placed in the data of the image. Adding the data to the image must be consistent with the texture in the image and not to create artificial blocks. In this study, the required pixels are estimated ...
This work use basic image processing technique to automatically recognize two different traffic signs (stop sign and yield sign) in an image. The image is first thresholded on RBG domain to separate out the regions with red color, which is those traffic signs usually have, then region mapping is done on the remaining regions, the regions that are either too small and too large are removed since...
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