High-Resolution SAR Image Despeckling Based on Nonlocal Means Filter and Modified AA Model

Ke, Qiao; Sun, Zengguo; Liu, Yang; Wei, Wei; Woźniak, Marcin; Scherer, Rafał

doi:10.1155/2020/8889317

Cited by 8 publications

(5 citation statements)

References 41 publications

(27 reference statements)

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“…e query, retrieve and analyze real objects from two aspects of space and attributes, quickly discover the relationship between the spatial distribution of things and their attributes, and express the results accurately and vividly in various intuitive forms and provide them to user judgment, prediction, and decision-making can significantly improve work efficiency and effectiveness [21][22][23][24][25][26][27][28][29][30][31]. At present, the data models of spatio-temporal GIS mainly include objectoriented spatio-temporal data model, event-based spatiotemporal data model, feature-based spatio-temporal data model, etc.…”

Section: Results Analysismentioning

confidence: 99%

[Retracted] Processing Methods for Digital Image Data Based on the Geographic Information System

Chen

et al. 2021

Complexity

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Digital image data processing is mainly to input digital image data into a computer to complete the conversion of a continuous spatially distributed image model into a discrete digital model so that the computer can identify, process, and store the processing process of digital image information. Geographic information system (GIS) is a computer system that integrates multiple forms of information expression, and it integrates functions such as collection, processing, transmission, storage, management, analysis, expression, and query retrieval, which can quickly discover the spatial distribution of things and their attributes and can express the results accurately and vividly in various intuitive forms. Therefore, on the basis of summarizing and analyzing previous research works, this paper expounded the research status and significance of processing methods for digital image data, elaborated the development background, current status, and future challenges of the GIS technology, introduced the methods and principles of permutation matrix algorithm and subimage averaging method, constructed the processing model for digital image data based on GIS, analyzed the data structure and its database establishment for digital image, proposed the processing methods for digital image data based on GIS, performed the enhancement processing and calculation classification of digital image data, and finally conducted a case analysis and its result discussion. The study results show that the proposed processing methods for digital image data based on GIS can perform analogue-to-digital conversion of continuous images, complete the steps of sampling, layering, and quantization, and then encode the obtained discrete digital signal into the computer to form an in-plane collection of pixels; this processing method can also organically combine spatial information and image data and identify, process, and store digital image data from both spatial and attribute aspects. The study results of this paper provide a reference for further research on the processing methods for digital image data based on GIS.

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Section: Results Analysismentioning

confidence: 99%

[Retracted] Processing Methods for Digital Image Data Based on the Geographic Information System

Chen

et al. 2021

Complexity

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“…is layer provides basic data support and a query interface for system business. Data storage mainly realizes basic data preservation, and this layer provides data storage, but more importantly, it provides data query and statistical interface; all the relevant database operations in the system are realized in this layer [28,29]. ere is similarity between two or more students, and the students' learning information can be tracked, and students with similar learning information can be found through the learning information.…”

Section: Application Design Of Music Teaching System For College Stud...mentioning

confidence: 99%

Optimization of Music Teaching Management System for College Students Based on Similarity Distribution Method

Lian

2022

Mathematical Problems in Engineering

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This paper puts forward a method of similarity distribution and applies it to music teaching management system. We use Java language, using JavaME development platform to complete the basic information management, music homework management, music practice management, online classroom management, information notification management, and other modules of the technical implementation. The system uses mobile learning system to provide a convenient learning platform for learners. However, student users can only view the course information in the system. To allow students to know the course change information more quickly when teachers update course information, the system implements the course information update reminder function. Compared with the existing music teaching system, the music teaching system based on Android adopts wireless Internet technology, which is more suitable for the daily habits of today’s college students and makes full use of the fragmentary time, which is conducive to improving their learning efficiency and stimulating students’ interest in learning.

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“…e remaining points are judged as uncontaminated pixels. If they are judged as noisy, they are filtered; if they are judged as non-noisy, they are not processed and are directly output as signal points to achieve the purpose of selectively processing grayscale images and retaining details while denoting [19][20][21][22][23][24]. Finally, the two-dimensional OTSU algorithm operation is performed on the grayscale image to complete the segmentation.…”

Section: Adaptive and Fast Algorithm Researchmentioning

confidence: 99%

Otsu’s Image Segmentation Algorithm with Memory‐Based Fruit Fly Optimization Algorithm

Chai

2021

Complexity

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In this paper, the most common pepper noise in grayscale image noise is investigated in depth in the median filtering algorithm, and the improved median filtering algorithm, adaptive switching median filtering algorithm, and adaptive polar median filtering algorithm are applied to the OTSU algorithm. Two improved OTSU algorithms such as the adaptive switched median filter-based OTSU algorithm and the polar adaptive median filter-based OTSU algorithm are obtained. The experimental results show that the algorithm can better cope with grayscale images contaminated by pretzel noise, and the segmented grayscale images are not only clear but also can better retain the detailed features of grayscale images. A genetic algorithm is a kind of search algorithm with high adaptive, fast operation speed, and good global space finding ability, and it will have a good effect when applied to the threshold finding of the OTSU algorithm. However, the traditional genetic algorithm will fall into the local optimal solution in different degrees when finding the optimal threshold. The advantages of the two interpolation methods proposed in this paper are that one is the edge grayscale image interpolation algorithm using OTSU threshold adaptive segmentation and the other is the edge grayscale image interpolation algorithm using local adaptive threshold segmentation, which can accurately divide the grayscale image region according to the characteristics of different grayscale images and effectively improve the loss of grayscale image edge detail information and jagged blur caused by the classical interpolation algorithm. The visual effect of grayscale images is enhanced by selecting grayscale images from the standard grayscale image test set and interpolating them with bilinear interpolation, bucolic interpolation, NEDI interpolation, and FEOI interpolation for interpolation simulation validation. The subjective evaluation and objective evaluation, as well as the running time, are compared, respectively, showing that the method of this paper can effectively improve the quality of grayscale image interpolation.

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High-Resolution SAR Image Despeckling Based on Nonlocal Means Filter and Modified AA Model

Cited by 8 publications

References 41 publications

[Retracted] Processing Methods for Digital Image Data Based on the Geographic Information System

[Retracted] Processing Methods for Digital Image Data Based on the Geographic Information System

Optimization of Music Teaching Management System for College Students Based on Similarity Distribution Method

Otsu’s Image Segmentation Algorithm with Memory‐Based Fruit Fly Optimization Algorithm

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