Image Degradation for Quality Assessment of Pan-Sharpening Methods
نویسنده
چکیده
Abstract: Wald’s protocol is the most widely accepted protocol to assess pan-sharpening algorithms. In particular, the synthesis property—which is usually validated on a reduced scale—is thought to be a necessary and sufficient condition of a success image fusion. Usually, the synthesis property is evaluated at a reduced resolution scale to take the original multispectral (MS) image as reference; thus, the image degradation method that is employed to produce reduced resolution images is crucial. In the past decade, the standard method has been to decimate the low-pass-filtered image where the filter is designed to match the modulation transfer function (MTF) of the sensor. The paper pointed out the deficiency of the method, and proposed a new image degradation method, referred to as method of spatial degradation for fusion validation (MSD4FV), which takes MTF compensation into account based on a simplified MTF model. The simulation results supported the implicit assumption of Wald’s protocol that image fusion performance is invariant among scales if the images have been properly degraded.
منابع مشابه
Spatial Quality Assessment of Pan-Sharpened High Resolution Satellite Imagery Based on an Automatically Estimated Edge Based Metric
Most of the existing pan-sharpening quality assessment methods consider only the spectral quality and there are just few investigations, which concentrate on spatial characteristics. Spatial quality of pan-sharpened images is vital in elaborating the capability of object extraction, identification, or reconstruction, especially regarding man-made objects and their application for large scale ma...
متن کاملVariational Wavelet Pan-Sharpening
Pan-sharpening is the process of fusing a low resolution multispectral image with a high resolution panchromatic image to obtain a high resolution multispectral image. We propose a new pan-sharpening method called Variational Wavelet Pan-sharpening (VWP) that combines wavelet fusion and the edges of the panchromatic image as an energy minimization problem. Furthermore, we introduce additional e...
متن کاملMeasurement of Quality Preservation of Pan-sharpened Image
–In real time remote sensing it is necessary to know the quality of images obtained from the different satellite sensors. Pan-sharpening enhances the spatial information of input raw multispectral images. This paper focuses on the evaluation and analysis of eight frequently used image quality assessment methods to determine the preservation of spectral and spatial integrity in the pan-sharpened...
متن کاملSatellite Multispectral Image Enhancement Based on Pan-Sharpening under NSCT
In real time remote sensing it is necessary to know the quality of images obtained from the different satellite sensors. Pan-sharpening enhances the spatial information of input raw multispectral images. This paper focuses on the evaluation and analysis of eight frequently used image quality assessment methods to determine the preservation of spectral and spatial integrity in the pan-sharpened ...
متن کاملAnalyzing Multi-sensor Data Fusion Techniques: a Multi-temporal Change Detection Approach
An inevitable tradeoff between spectral and spatial resolution exists in remote sensing systems and it is essential to integrate information from systems with complementary characteristics to improve data interpretability. Panchromatic (PAN) sharpening is a data fusion technique that merges a high spatial resolution PAN image with lower spatial resolution multispectral images. The resulting mer...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- Remote Sensing
دوره 10 شماره
صفحات -
تاریخ انتشار 2018