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LAND image data-processing REQUIREMENTS FOR THE EOS ERA

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 1989年第2期27卷 236-242页

作者： WHARTON, SW NEWCOMER, JA ST SYST CORP LANHAMMD 20706

Requirements are proposed for a hybrid approach to image analysis that combines the functionality of a general-purpose image processing system with the knowledge representation and manipulation capabilities associated with expert systems to improve the productivity of scientists in extracting information from remotely sensed image data. The overall functional objectives of the proposed system are to: (1) reduce the level of human interaction required on a scene-by-scene basis to perform repetitive image processing tasks; (2) allow the user to experiment with ad hoc rules and procedures for the extraction, description, and identification of the features of interest; and (3) facilitate the derivation, application, and dissemination of expert knowledge for target recognition whose scope of application is not necessarily limited to the image(s) from which it was derived.

关键词： image data processing image processing task image data Knowledge Representation Dissemination ON-SCENE Target recognition image processing systems Eos Expert Opinion Expert System image analysis

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Simultaneous remote velocity measurements of different aerosol inhomogeneities by image data processing

Simultaneous remote velocity measurements of different aeros...

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14th International School on Quantum Electronics on Laser Physics and Applications

作者： Mitev, Vladimir A. Deleva, Atanaska D. Peshev, Zahary Y. Grigorov, Ivan V. Bulgarian Acad Sci Inst Elect 72 Tsarigradsko Chaussee Blvd BU-1784 Sofia Bulgaria

ISBN: (纸本)9780819467423

Statistical image processing methods are widely used for analyzing various random processes. One of these methods is the correlation method, which is applicable in the remote sensing for measuring the transport velocity of aerosol fields and determination of their statistical characteristics such as averaged lifetime, size, orientation, etc. In this work, an image data processing technique based on the temporary instabilities method is described, enabling velocity measurements of statistically homogeneous objects. The ability of the proposed technique for accomplishing simultaneous velocity measurements of different inhomogeneities is demonstrated experimentally. The main drift velocity vector is set by the position of the global correlation maximum, wich is obtained for different couples of recorded images.

关键词： correlation method image data processing velocity measurements

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Intelligent image data processing for Acquiring Target in a Multisensor Platform

Intelligent Image Data Processing for Acquiring Target in a ...

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12th International Conference on Optimization of Electrical and Electronic Equipment

作者： Grigore-Mueler, Octavian Barbelian, Mihai Arhip, Janel Jurba, Mihai Univ Politehn Bucuresti Fac Aerosp Engn Bucharest Romania SC Seletron Software Automatizari SRL Bucharest Romania SC Electro Opt Components Bucharest Romania

ISBN: (纸本)9781424470198

To hide personnel, equipments and vehicles modern battlefield uses many techniques such as natural and artificial obstacles (e.g. vegetation, and masking and netting, respectively). Even if the enemy would not use these methods there are some situations when conditions like bad weather may make difficult or impossible to visualize these obstacles. To overcome this inconvenience, a stabilized platform made of a complex sensor (visible and infrared camera) and a LASER radar is designed. This paper presents the results obtained in solving this complex problem by using complex data (image) processing not only to find the kind of targets described above, but also to identify them.

关键词： image data processing bad weather image data Targets Masking multi sensor stabilization platform INFRARED CAMERA Lidar vegetation Platform natural Problem solving

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Development of Human-fingertip-sized Three-axis Tactile Sensor Based on image data processing 9

Development of Human-fingertip-sized Three-axis Tactile Sens...

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2015 9th International Conference on Sensing Technology (ICST)

作者： Ohka, Masahiro Nomura, Ryota Yussof, Hanafiah Zahari, Nur Ismarrubie Nagoya Univ Grad Sch Informat Sci Chikusa Ku Nagoya Aichi Japan Univ Teknol MARA Fac Mech Engn Shah Alam Selangor 40450 Malaysia Univ Putra Malaysia Fac Engn Dept Mech & Mfg Engn Serdang 43400 Malaysia

ISBN: (纸本)9781479963140

In order to increase the versatility of multi-fingered humanoid robot hands, we designed a human-finger-sized three-axis tactile sensor using a simple structure. Since we adopted a feeler-less structure for miniaturization, we acquired the three-axis tactile data via image data processing. With this sensor design, we solved the intrinsic problem of the ordinal three-axis tactile sensor's insensible zone. In a series of verification experiments, the sensor measured variation in normal force in the range of 0 to 2.5 N;furthermore, it detected variation in tangential force in the range of 0 to 0.25 N under 1.5-N normal force.

关键词： Tactile sensor Human fingertip size Three-axis image data processing Non-feeler structure Non insensible region Verification test

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DEEP LEARNING MODEL CONSTRUCTION OF URBAN PLANNING image data processing AND HEALTH INTELLIGENCE SYSTEM

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SCALABLE COMPUTING-PRACTICE AND EXPERIENCE 2024年第5期25卷 4383-4389页

作者： Xu, Can Hubei Polytech Univ Sch Econ & Management Huangshi 435000 Hubei Peoples R China

In order to study the deep learning model of urban planning image data processing and health intelligent system, based on existing remote sensing image change detection methods, the author introduces and proposes the use of deep belief networks in deep learning to classify high-resolution remote sensing images and analyze urban expansion change detection. Compared with traditional methods, deep learning has the highest overall accuracy and Kappa coefficient. Deep learning has the highest producer accuracy and relatively low misjudgment rate, making it the most suitable for studying the trend of urban built-up areas. By calculating the information entropy of the image to predict the number of hidden layer nodes, the time for deep learning is greatly reduced. Under the same experimental conditions, the training time for each image can be shortened by 12 525 seconds has improved classification efficiency and made a significant contribution to research on urban expansion applications. Finally, the improved deep belief network was applied to classify and detect changes in the three phase remote sensing images of Beijing, and the urban expansion trend and characteristics of Beijing were analyzed. Provide technical reference and inspiration for urban planning and land use protection.

关键词： Deep learning Deep belief network Remote sensing images Urban planning image data processing

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processing algorithms for quantum remote sensing image data 27

Processing algorithms for quantum remote sensing image data

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27th Annual Conference on Infrared Remote Sensing and Instrumentation held as part of the Annual SPIE Optics and Photonics Symposium

作者： Bi, Siwen Chen, Hao Ke, Yuxian Rao, Siwei Liu, Jiaying Shenzhen Jingwan Quantum Remote Sensing Technol C Beijing 518108 Peoples R China Chinese Acad Sci Inst Remote Sensing & Digital Earth Beijing 100101 Peoples R China

ISBN: (数字)9781510629509

ISBN: (纸本)9781510629509

Since Professor Siwen Bi proposed quantum remote sensing (QRS) in early 2001, the first QRS imaging prototype was developed after many stages of researches. Based on the results, our group has also undertaken in-depth theoretical and algorithmic experiments on QRS image processing. It's both a quantum system simulation algorithm, preparing for the future quantum physical devices and calculation technology, and an expansion of quantum theories to RS image processing fields. It combines quantum mechanics theory and RS image processing technology, which introduces a new research direction for RS image processing technology. Now our researches achievements include a quantum denoising algorithm theory and simulation, a quantum enhancement algorithm theory and simulation, and a quantum segmentation algorithm theory research and simulation. A RS denoising algorithm based on the quantum-inspired concept is proposed for image denoising. Key benefits of the algorithm, which include improvements in transmission and accuracy, are demonstrated experimentally. Experiments showed that the peak signal to noise ratio (PSNR) for the proposed algorithm is improved by over 2dB and the edge retention index (EPI) is 0.1 higher than that for common methods. Given the low contrast ratio and brightness as well as insufficient detail for some RS images, a quantum algorithm based on the combination of a quantum inspired and unsharp masking to enhance and segment the RS image data was proposed. Results showed that the contrast ratio and brightness of images processed by the quantum algorithm improved, the image entropy and peak signal to noise ratio is higher.

关键词： Quantum remote sensing image data processing quantum-inspired quantum superposition double density dual-tree complex wavelet peak signal to noise ratio edge retention index

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An embedded processing system for image data compression and storage

An embedded processing system for image data compression and...

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7th International Conference on Signal processing

作者： Yao, CL Jiang, HX Wang, QQ Li, B BeiHang Univ Dept Comp Sci & Engn Digital Media Lab Beijing 100083 Peoples R China

ISBN: (纸本)7121002159

Electromagnetic interference, shock and vibration under adverse conditions are critical problems for the design of embedded processing system, especially in the limited spaces. In addition, processing and transferring of large-scale image data are also important to the system. Therefore, in this paper all image data processing and storage system is designed, ill which ail ETX-CPU is used as the main module and a Virtex-II family FPGA acts as the processing core, at the same time, a well-appointed power processing circuit is designed to ensure correctness of the system. In the end, CADENCE PCB layout design tools are used to solve the signal integrity problems of the system.

关键词： image data processing power design embedded

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Distributed computing and storage strategy for massive high resolution image data

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INTELLIGENT DECISION TECHNOLOGIES-NETHERLANDS 2024年第4期18卷 2901-2913页

作者： Li, Guozhang Alfred, Rayner Wang, Yetong Xing, Kongduo Hainan Vocat Univ Sci & Technol Coll Informat Engn Haikou Hainan Peoples R China Univ Malaysia Sabah Fac Comp & Informat Creat Adv Machine Intelligence Res Ctr Kota Kinabalu Sabah Malaysia

With the continuous development of science and technology, it has become possible to acquire and process massive high-resolution image data. The amount of high-resolution image data is huge, and the traditional single-machine computing and processing methods may become inefficient, which is difficult to meet the needs of real-time or large-scale data processing. This article selected a high resolution satellite remote sensing image from the Landsat dataset for processing. Gaussian filtering was used to denoise the image, followed by K-means algorithm for image segmentation. The image data was then transmitted and stored and the results of image data processing were merged. data processing efficiency and storage space utilization were analyzed for different data segmentation and storage methods. According to the experimental results, it could be concluded that the method of image resolution segmentation not only had fast processing speed, but also produced higher data quality. The storage space utilization rate using AWS S3 (Amazon Simple Storage Service) storage solution was the highest, reaching a maximum of 0.98. The response time was the shortest, around 100 ms. AWS S3 showed the highest read speed, between 147 MB and 154 MB per second. It could be seen that when processing massive high resolution image data, appropriate segmentation methods and storage schemes should be selected. The research and application of distributed computing and storage strategies for massive high resolution image data posed certain theoretical and technical challenges, which could promote the development of distributed computing and storage technology, technological progress and innovation in related fields.

关键词： image data processing distributed image data processing data storage high resolution gaussian filtering K-means algorithm

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Recovering recyclable materials: Experimental analysis of CD-R laser processing

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OPTICS AND LASERS IN ENGINEERING 2007年第1期45卷 208-221页

作者： Barletta, Massimiliano Gisario, Annarnaria Tagliaferri, Vincenzo Univ Roma Tor Vergata Dept Mech Engn I-00133 Rome Italy

This paper examines the influence of operating parameters in diode laser processing of CD-Rs for the purpose of recovering two of the main constituents: the polycarbonate substrate and the silver reflective layer. The targets used in experimental tests were 'silver' CD-Rs. Four operating parameters were investigated during experimental tests on selected CD-Rs, namely transverse and rotating speed, output power, and focal length. CD-Rs were successfully treated by using sufficiently wide operating ranges, and in optimized process conditions. It took less than 4.7 s to treat a CD-R, that is, 0.3 s less than the fastest CD-R manufacturing time. The best process performance is expressed in terms of transparency index, and is achieved by using both higher scanning speed and best focus conditions in conjunction. Output power is not so influential, but in order to attain the most effectiveness CD-R laser processing, values that are too low must be avoided. The extent of treated, untreated, and burnt areas of CD-Rs after diode laser processing was defined and measured, from which the most appropriate processing windows were found, including the quality of the recycled materials. Experimental findings were then used to define and validate an analytical model of CD-R laser processing. Two different mechanisms operating at low and high process speeds were inferred, and lastly, several aspects concerning the industrial application of the technique are discussed at length. (C) 2006 Elsevier Ltd. All rights reserved.

关键词： compact disk diode laser transparency index image data processing

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Super-pixel image segmentation algorithm based on adaptive equalisation feature parameters

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IET image processing 2020年第17期14卷 4461-4467页

作者： Ding, Shifei Wang, Lijuan Cong, Lin China Univ Min & Technol Sch Comp Sci & Technol Xuzhou 221116 Jiangsu Peoples R China Minist Educ Peoples Republ China Mine Digitizat Engn Res Ctr Xuzhou 221116 Jiangsu Peoples R China Xu Zhou Coll Ind Technol Sch Informat & Elect Engn Xuzhou 221400 Jiangsu Peoples R China

image segmentation is a key step in the process of image data processing. The quality of image segmentation will directly affect the accuracy of image cognitive understanding. The purpose of image segmentation is to divide the image into regions with specific semantics. For the simple linear iterative clustering (SLIC) algorithm, the feature equalisation parameters need to be set manually during image segmentation, which results in the lack of segmentation effects and slow processing time. By introducing the theory of intermediary mathematics, an improved adaptive SLIC super-pixel algorithm is proposed, which can adaptive generate characteristic equalisation parameters according to the specific situation of the image, thereby simplifying the operation steps and improving the image segmentation effect. After experimental verification and analysis, compared with the original SLIC algorithm and several other super-pixel contrast algorithms, the algorithm in this study can effectively shorten the processing time and achieve a better segmentation effect.

关键词： adaptive equalisers image segmentation iterative methods pattern clustering super-pixel image segmentation algorithm adaptive equalisation feature parameters image data processing image cognitive understanding simple linear iterative clustering algorithm improved adaptive SLIC super-pixel algorithm image segmentation effect super-pixel contrast algorithms intermediary mathematics theory adaptive generate characteristic equalisation parameters

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