METHOD FOR PROCESSING AN SAR IMAGE AND ASSOCIATED TARGET-DETECTING METHOD

• 1. 一种基于目标数量后验的SAR图像集群目标检测方法 [P] . 中国专利： CN107742113B . 2019.11.19
• 2. 一种基于目标数量后验的SAR图像集群目标检测方法 [P] . 中国专利： CN107742113A . 2018-02-27
• 3. METHOD FOR PROCESSING AN SAR IMAGE AND ASSOCIATED TARGET-DETECTING METHOD [P] . 欧洲知识产权局专利： EP3359978B1 . 2020-01-08

  机译： SAR图像处理方法及目标检测方法

• 4. METHOD FOR PROCESSING AN SAR IMAGE AND ASSOCIATED TARGET-DETECTING METHOD [P] . 世界知识产权组织专利： WO2017060000A1 . 2017-04-13

  机译： SAR图像处理方法及目标检测方法

• 5. "The method implemented in the computer for image processing aperture radar (SAR) and sintu00c9tica computerized system to process the images of sintu00c9tica aperture radar (SAR) [P] . BRPI0808277A2 . 2014-07-22

  机译： 在计算机中实现的图像处理孔径雷达（SAR）和sint计算机系统的方法，用于处理sint孔径雷达（SAR）的图像

• 1. The State-of-the-Art Review on Applications of Intrusive Sensing,Image Processing Techniques,and Machine Learning Methods in Pavement Monitoring and Analysis [J] . Yue Hou, Qiuhan Li, Chen Zhang, 工程（英文） . 2021,第006期
• 2. The State-of-the-Art Review on Applications of Intrusive Sensing,Image Processing Techniques,and Machine Learning Methods in Pavement Monitoring and Analysis [J] . Yue Hou, Qiuhan Li, Chen Zhang, 工程（英文） . 2021,第006期
• 3. Detection Methods Based on Structured Covariance Matrices for Multivariate SAR Images Processing [J] . Ben Abdallah R., Mian A., Breloy A., IEEE Geoscience and Remote Sensing Letters . 2019,第7期
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• 6. METHODS TO IMPROVE SYSTEM VERIFICATION EFFICIENCY IN FPGA-BASED SPACEBORNE SAR IMAGE PROCESSING SYSTEM [C] . Zhu Yang, Teng Long IET International Radar Conference . 2016
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• 8. Comparison of Multispectral Image-Processing Methods for Brain Tissue Classification in BrainWeb Synthetic Data and Real MR Images [O] . Hsian-Min Chen, Hung-Chieh Chen, Clayton Chi-Chang Chen, 2021
• 9. ABSTRACT Various body parts or organs can be analysed to identify the different diseases in the human body. Fingernail analysis is one of the ways to identify disease in the human body. Nails are the body part which are farthest from the heart and therefore receive oxygen at last. As a result the nails are the first who show the symptoms of a disease in the human body. Fingernails can be easily captured for diagnosis and there are no heavy equipment or no specific conditions required to use nail image for disease diagnosis, like in other tests and scanning processes. Human nails deliver beneficial information about complaints or any nutritive imbalances in the human body depending upon their shape, texture and colour. In human beings, numerous systemic and skin diseases can be easily analyzed through careful examination of nails of both the limbs. A lot of nail illnesses have been found to be primary signs of numerous underlying systemic illnesses. The colour, texture or shape changes in nails are signs of many diseases mainly affecting nails. Considering all these properties of nails a system is proposed that uses digital image processing (DIP) methods for identifying such changes in the human nail to get more precise results and predict numerous diseases effortlessly. With the emerging Internet of Things (IOT) concept the generated report is made available remotely, this will help users to reduce transportation efforts. As the system has to deal with large and private data, the security of data must be ensured. To keep the data confidential, the Blockchain concept which is one of the most emerging concepts in the field of data management is used. The paper contains the implementation of the digital image processing for feature extraction of nail images, usage of IOT (ThingSpeak cloud) for data storage and implementation of Blockchain to keep the system secured and theft free. KEY WORDS: Int ernet of thin gs (IOT), Image proc essin g, Thin gSpeak, RG B vavalues, Mean pi xel vavalues, Bloc kchain , Hash key. Disease Diagnostic System: Abnormalities in Human Nail [O] . Pranav S. Wazarkar 2020
• 10. SAR Imaging via Modern 2-D Spectral Estimation Methods. Volume 1. Imaging Methods [R] . DeGraaf, S. R. 1995

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