Subpixel Accuracy Analysis of Phase Correlation Shift Measurement Methods Applied to Satellite Imagery
نویسندگان
چکیده
the key point of super resolution process is the accurate measuring of sub-pixel shift. Any tiny error in measuring such shift leads to an incorrect image focusing. In this paper, methodology of measuring sub-pixel shift using Phase correlation (PC) are evaluated using different window functions, then modified version of (PC) method using high pass filter (HPF) is introduced . Comprehensive analysis and assessment of (PC) methods shows that different natural features yield different shift measurements. It is concluded that there is no universal window function for measuring shift; it mainly depends on the features in the satellite images. Even the question of which window is optimal of particular feature is generally remains open. This paper presents the design of a method for obtaining high accuracy sub pixel shift phase correlation using (HPF).The proposed method makes the change in the different locations that lack of edges easy. Keywords-phase correlation (PC); high pass filter (HPF); window function; sub-pixel shift.
منابع مشابه
Robust subpixel shift estimation using iterative phase correlation of a local region
In this paper, subpixel shift estimation method using phase correlation with local region is proposed for registration of noisy images. Commonly, phase correlation based on the Fourier shift property is used to estimate the shift between images. Subpixel shift of images can be estimated by the analysis for the phase correlation of downsampled images. However, in case of images with noise or ali...
متن کاملComparing the Capability of Sentinel 2 and Landsat 8 Satellite Imagery in Land Use and Land Cover Mapping Using Pixel-based and Object-based Classification Methods
Introduction: Having accurate and up-to-date information on the status of land use and land cover change is a key point to protecting natural resources, sustainable agriculture management and urban development. Preparing the land cover and land use maps with traditional methods is usually time and cost consuming. Nowadays satellite imagery provides the possibility to prepare these maps in less ...
متن کاملEvaluating machine learning methods and satellite images to estimate combined climatic indices
The reflections recorded on satellite images have been affected by various environmental factors. In these images, some of these factors are combined with other environmental factors that cannot be distinguished. Therefore, it seems wise to model these environmental phenomena in the form of hybrid indicators. In this regard, satellite imagery and machine learning methods can play a unique role ...
متن کاملA Novel Unsupervised Subpixel Mapping Algorithm to Enhance Accuracy of Remotely Sensed Image
The division of an image into meaningful structures, image segmentation, is often an essential step in image analysis, object representation, visualization, and many other image processing tasks. In this paper the multi-spectral satellite image is taken as input. Our aim is to enhance the accuracy and to remove the over segmentation..Mean-shift technique have been demonstrated to be capable of ...
متن کاملAccuracy improvement of Best Scanline Search Algorithms for Object to Image Transformation of Linear Pushbroom Imagery
Unlike the frame type images, back-projection of ground points onto the 2D image space is not a straightforward process for the linear pushbroom imagery. In this type of images, best scanline search problem complicates image processing using Collinearity equation from computational point of view in order to achieve reliable exterior orientation parameters. In recent years, new best scanline sea...
متن کامل