Restoring SAR Images Using Effective Image Restoration Approach
نویسندگان
چکیده
Landsat 7 Enhanced Thematic Mapper Plus satellite images presents an important data source for many applications related to remote sensing. An effective image restoration method is proposed fill the missing information in images. The segmentation of find SLIC Super pixels and then Segments. Boundary Reconstruction performed using Edge Matching area region. Peak Signal Noise Ratio Root Mean Square Error with boundary reconstruction without evaluate quality error rate results show capability predict values accurately terms quality, time need external information.The PSNR has changed from 25 90 RMSE 180 4 Red Channel image.This indicates that high less.
منابع مشابه
Image Restoration Using A PDE-Based Approach
Image restoration is an essential preprocessing step for many image analysis applications. In any image restoration techniques, keeping structure of the image unchanged is very important. Such structure in an image often corresponds to the region discontinuities and edges. The techniques based on partial differential equations, such as the heat equations, are receiving considerable attention i...
متن کاملRestoration of polarimetric SAR images using simulated annealing
Filtering synthethic aperture radar (SAR) images ideally results in better estimates of the parameters characterizing the distributed targets in the images while preserving the structures of the nondistributed targets. However, these objectives are normally conflicting, often leading to a filtering approach favoring one of the objectives. An algorithm for estimating the radar cross-section (RCS...
متن کاملAdaptive Restoration of Speckled SAR Images
The paper proposes a restoration method for speckled images generated by coherent imaging systems (e.g., synthetic aperture radar, synthetic aperture sonar, ultrasound imaging, and laser imaging). These systems are invariably affected by speckle noise and therefore restoration/filtering of the mean backsattered signal (backsacttering coefficient) is often necessary. The approach is Bayesian: th...
متن کاملImage Restoration Using RO Learning Approach
In this paper, a machine-leaning-based adaptive approach is proposed to restore image from Gaussian corruption. The well-known Random-Optimization (RO) learning method is used for training of the adaptive filter. With the merit of model-free computation of RO, the derivative information is not required. Combined with block processing technique, the proposed adaptive filtering approach possesses...
متن کاملSAR Image Segmentation using Vector Quantization Technique on Entropy Images
The development and application of various remote sensing platforms result in the production of huge amounts of satellite image data. Therefore, there is an increasing need for effective querying and browsing in these image databases. In order to take advantage and make good use of satellite images data, we must be able to extract meaningful information from the imagery. Hence we proposed a new...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International journal of information retrieval research
سال: 2021
ISSN: ['2155-6377', '2155-6385']
DOI: https://doi.org/10.4018/ijirr.289951