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International conference on Recent Advances in Space Technologies (RAST)

作者： U. Orlu G. Yuksel L. Gomes K. Hall Tübitak Bilten Satellite Technologies Group Middle East Technical University Ankara Turkey Surrey Space Centre Surrey Satellite Technology Limited University of Surrey Guildford Surrey UK

BILSAT-1 is a 129 kg enhanced microsatellite developed by SSTL with TUBITAK-BILTEN engineers as part of a technology transfer programme. The main objective of the mission is remote sensing. The multispectral imager of the satellite has a 26-meter ground sampling distance at 686 km altitude giving a swath width of 55 km and the panchromatic imager of the satellite with 12-meter ground sampling distance gives a 25 km swath width. The satellite has off-axis pointing capability, provided by the ADCS systems, which (amongst other benefits) reduces the revisit time for any given point on the Earth. The advanced and capable Attitude Determination and Control System including star cameras, sun sensors and rate gyros provide accurate and precise attitude information allowing a very high degree of attitude knowledge. Tetrahedral mounted four reaction wheels on board will make the satellite extremely agile, allowing fast slew maneuvers about its roll and pitch axes. On board the satellite there are additional Turkish payloads, including a Digital signal processing payload (GEZGIN), and a low-resolution multi spectral camera (COBAN), and SSTL developed payloads: Dual Control Moment Gyros. Due to the large number of subsystems and payloads, the SSTL enhanced microsatellite power system platform is extended to house more than 50 electronic switches to control subsystem and payload operations. Because of the power generation limitations, payload operations are scheduled in order to keep the battery depth of discharge (DoD) at the design level of 15% (which is dictated by the 5+10 years of extended design lifetime of the satellite), although analyses show that the DoD could reach 20% for some particular orbits where intensive operations are required. Several analyses have been done to increase the orbit average power generation and some structural modifications have been made based on the SSTL enhanced microsatellite platform, such as canting the solar panels to maintain energy bal

关键词： Power systems Satellites Payloads Position measurement image sampling Control systems Cameras Attitude control Orbits Power engineering and energy

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Realization of remote sensing image segmentation based on K-means clustering

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IOP conference Series: Materials Science and Engineering 2019年第7期490卷

作者： Yanhong Wang Denghui Li Yuying Wang Guangxi Key Lab of Wireless Wideband Communication & Signal Processing Guilin China Institute Of Information Technology of Guilin University of Electronic Technology Key Laboratory of Cognitive Radio and Information Processing Ministry of Education (Guilin University of Electronic Technology) GUET Guilin China School of Computer Science and Information Security of GUET

Segmentation of remote sensing image is the key technology of positioning system. Firstly, we transform the remote sensing image from RGB pace to Lab space. Then, three centres are iterated by using K- means algorithm. Finally, in order to eliminate the influence, the closed operation of mathematical morphology is used to correct the segmented image. The results show that it can segment the road from the remote sensing image in lab mode, by using K-means clustering algorithm. Moreover, Lab mode is more suitable for k-mean than other modes.

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Extraction and application of Impervious Surface Area in Yellow River Delta

Extraction and application of Impervious Surface Area in Yel...

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2010 Second IITA International conference on Geoscience and remote sensing (IITA-GRS 2010)

作者： Li Mingjie 1,2 ,Hou Xiyong 1,Zhu Mingming 12 ,Shen Chunyan 2341. Yantai Institute of Coastal Zone Research,Chinese Academy of Sciences,Yantai 264003,China 2. Graduate School of the Chinese Academy of Sciences,Beijing 100049,China 3. South China Sea Institute of Oceanology,Chinese Academy of Sciences,Guangzhou 510301,China 4. Guangdong Ocean University,Zhanjiang 524088,China

Impervious surfaces as a special factor mainly made by human not only can indicate changes of LUCC and the Urbanization,and is also a good indicator of environmental quality. In this paper,we took the TM image data of the Yellow River Delta (YRD) region especially the Dongying city in 2009 as study area,used the Normalized Mixing Spectral Analysis Model (NSMA) and aided the product of maximum likelihood classify to obtain the high accuracy map of percent impervious surface (PIS). In addition,the urban (town) were distinguished by setting appropriate threshold according to the PIS and the investigation data. The results indicated that,the combination of the NSMA and the maximum likelihood method was effective to differentiate alkaline land from build-up area;In the whole study area of YRD,the non-urban (non-town) area was an absolutely dominant type with the 92% percent area,while in the area with the PIS value of grater than 10%,the percents area of the urban (town) were 63%,specifically to the low,middle,high development levels area,each was 13%,22%,28% in sequence;The relationships between PIS and LST,ET revealed that the higher the PIS,the higher the LST while the lower the ET and there would be a clearly positive (negative) exponential relationships between the PIS and the LST (ET). And the study on impervious surface would be useful to further research on its sprawl and quantitative relationships between the PIS and the other land surface parameters.

关键词： Impervious Surfaces Normalized Spectral Mixed Analysis Model Maximum likelihood classify Land surface parameters Relationship Yellow River Delta

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Distributed/Embedded Sub-Surface Sensors for Imaging Buried Objects with Reduced Mutual Coupling and Suppressed Electromagnetic Emissions

Distributed/Embedded Sub-Surface Sensors for Imaging Buried ...

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2007 International Waveform Diversity & Design conference

作者： John Norgard Michael C. Wicks Andrew Drozd William Baldygo Kevin Magde William Moore Randall Musselman AFRL/Sensors Directorate Dayton OH USA ANDRO Computational Solutions LLC Rome NY USA Colorado Springs USAFA/DF/DFEC CO USA

ISBN: (纸本)9781424412754;1424412757;1424412765

The proliferation of strategic subsurface targets has increased the need for remote sensing techniques providing for the accurate detection and identification of deeply buried objects. A new RF Tomographic Technique is proposed in this concept paper for developing RF CAT Scans of buried objects using spectral, spatial/angular, and polarization diversity. This tomographic imaging technique, developed by Wicks and presented in GPR 2004 [1], uses embedded subsurface radiators, delivered by earth-penetrating non-explosive, electronic "e-bombs", as the source of strong underground radiated transmissions. Distributed surface-contact sensors are used to collect the tomographic data for relay to a UAV and transmission to a remote site. Three-dimensional imaging algorithms have been developed to detect, image, and characterize deeply buried targets. By embedding the transmitters underground, reduced mutual coupling and EM emissions, and improved signal-to-noise ratios can be achieved. Simple surface SAR experiments over deep mine shafts have been performed to validate the 3D processing algorithms using 2D surface SAR sensor data. WIPL-D models have also been used to simulate the embedded and distributed sensors and to verify the significant enhancement in the received signal-to-noise ratio obtained by burying radiators under the surface.

关键词： signal to noise ratios Buried object detection embedding Mutual coupling distributed sensors polarization diversity remote sensing technique Tomography SHAFT Radiators transmission underground Targets relay Contact sensors

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Fast processing of UAV remote sensing image Based on DSP Hardware Simulation Platform

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Journal of Physics: conference Series 2020年第7期1486卷

作者： Fan Liu Guixia Guan Haimeng Zhao Peng Sun Lei Yan Capital Normal Universityt Information Engineering College Beijing 100048 China Peking University Space Information Integration and 3S Engineering Application Key Laboratory of Beijing BeiJing 100871 China Guilin University of Aerospace Technology Key Laboratory of Remote Sensing Surveying and Mapping for UAV in Universities of Guangxi Guangxi GuiLin 541004 China

The traditional unmanned aerial vehicle (UAV) remote sensing image processing algorithm is difficult to guarantee both accuracy and speed when dealing with massive data of UAV network. This paper designs an on-the-spot processing system based on portable digital signal processor (DSP) hardware simulation platform. The bilinear interpolation algorithm is optimized and improved for the adaptability of the DSP platform with the reference of the bicubic interpolation algorithm, which is long time-consuming but high accuracy. The nearest neighbor interpolation is merged in the bilinear interpolation algorithm, which improves the edge blurring problem of bilinear interpolation algorithm. In the loop calculation of the multiplication and addition iteration calculation segment of the algorithm, the parallelism of the instruction level is increased by increasing the instruction level parallelism between the loop bodies. Experiments show that, on the basis of ensuring the accuracy of the bilinear interpolation algorithm, the execution speed of the processing algorithm is improved, which can meet the requirements of fast real-time processing of remote sensing images of complex unmanned aerial vehicles.

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Impact of noise in image quality assessment

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AIP conference Proceedings 2023年第1期2495卷

作者： Abita Devi Prashant Upadhyaya Suniti Dutt Electronics and communication Department Chandigarh University Chandigarh INDIA

Digital image processing is very forefront and stemming technology and have plethora of applications in area of imaging like remote sensing including satellite, land surveying, Biomedical treatments practices like x-ray, CT-scan, MRI, educational practices and many more. This ever-increasing demand for image processing-based applications has necessitated the image Quality Assessment (IQA) methodologies for accurate evaluation of image quality at each stage of image processing. But, regrettably, haphazard discrepancy in image signal leads to deterioration in quality of images due to external disturbances. The current work emphasizes on the impact of most communal noise on digital images by carrying out the experimental analysis on the degradation of image Quality Assessment (IQA) parameters of signal-to-Noise Ratio (SNR) and Peak signal-to-Noise Ratio (PSNR). Once the effect of different types of noise on image quality is analysed, the researchers will be motivated to employ elaborative quality assessment on images before using these in various imaging systems.

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remote sensing of shallow sea floor for digital earth environment

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IOP conference Series: Earth and Environmental Science 2014年第1期18卷

作者： N N Yahya M Hashim S Ahmad To whom any correspondence should be addressed Institute of Geospatial Science and Technology Universiti Teknologi Malaysia 81310 Johor Bahru Malaysia

Understanding the sea floor biodiversity requires spatial information that can be acquired from remote sensing satellite data. Species volume, spatial patterns and species coverage are some of the information that can be derived. Current approaches for mapping sea bottom type have evolved from field observation, visual interpretation from aerial photography, mapping from remote sensing satellite data along with field survey and hydrograhic chart. remote sensing offers most versatile technique to map sea bottom type up to a certain scale. This paper reviews the technical characteristics of signal and light interference within marine features, space and remote sensing satellite. In addition, related image processing techniques that are applicable to remote sensing satellite data for sea bottom type digital mapping is also presented. The sea bottom type can be differentiated by classification method using appropriate spectral bands of satellite data. In order to verify the existence of particular sea bottom type, field observations need to be carried out with proper technique and equipment.

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Playback system designed for X-Band SAR

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IOP conference Series: Earth and Environmental Science 2014年第1期17卷

作者： Liu Yuquan Dou Changyong Institute of Remote Sensing and Digital Earth Chinese Academy of Sciences Beijing No. 9 Dengzhuang South Road Haidian Beijing 100094 China

SAR(Synthetic Aperture Radar) has extensive application because it is daylight and weather independent. In particular, X-Band SAR strip map, designed by Institute of remote sensing and Digital Earth, Chinese Academy of Sciences, provides high ground resolution images, at the same time it has a large spatial coverage and a short acquisition time, so it is promising in multi-applications. When sudden disaster comes, the emergency situation acquires radar signal data and image as soon as possible, in order to take action to reduce loss and save lives in the first time. This paper summarizes a type of X-Band SAR playback processing system designed for disaster response and scientific needs. It describes SAR data workflow includes the payload data transmission and reception process. Playback processing system completes signal analysis on the original data, providing SAR level 0 products and quick image. Gigabit network promises radar signal transmission efficiency from recorder to calculation unit. Multi-thread parallel computing and ping pong operation can ensure computation speed. Through gigabit network, multi-thread parallel computing and ping pong operation, high speed data transmission and processing meet the SAR radar data playback real time requirement.

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Curvelet Transform based Denoising of Multispectral remote sensing images

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Journal of Physics: conference Series 2021年第1期2089卷

作者： P. Lokeshwara Reddy Santosh Pawar S.L. Prathapa Reddy Research Scholar Department of ECE Dr. A.P.J. Abdul Kalam University Indore Madhya Pradesh Associate Professor Department of ECE Dr. A.P.J. Abdul Kalam University Indore Madhya Pradesh Associate Professor Department of ECE K.S.R.M. College of Engineering Kadapa Andhra Pradesh

With the advent of sensor technology, the exertion of multispectral image (MSI) is comely omnipresent. Denoising is an essential quest in multispectral image processing which further improves recital of unmixing, classification and supplementary ensuing praxis. Explication and ocular analysis are essential to extricate data from remote sensing images for broad realm of supplications. This paper describes curvelet transform based denoising of multispectral remote sensing images. The implementation of curvelet transform is done by using both wrapping function and unequally spaced fast Fourier transform (USFFT) and they diverge in selection of spatial grid which is used to construe curvelets at every orientation and scale. The coefficients of curvelets are docket by a scaling factor, angle and spatial location criterion. This paper crisps on denoising of Linear Imaging Self Scanning Sensor (LISS) III images. The proposed denoising approach has also been collated with some existing schemes for assessment. The efficacy of proposed approach is analyzed with calculation of facet matrices such as Peak signal to noise ratio and Structural similarity at distinct variance of noise..

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The Tangential Velocity MTI Algorithms in Space-borne Systems for remote sensing of the Earth

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Journal of Physics: conference Series 2020年第1期1632卷

作者： V V Kostrov E F Tolstov K K Khramov Murom Institute of Vladimir State University Murom Russia Head of department AEROCON Company Zhukovsky Russia

In this paper, the problem of moving target indication (MTI) using synthetic aperture radar (SAR) is considered. The focus of the article is the tangential component of velocity. Two tangential velocity MTI algorithms are considered. The first algorithm uses two apertures with various synthetic time of the radar image (AVST algorithm), and the second uses two apertures displaced along trajectory (ADAT algorithm). The structure of the MTI system based on the analysis of phase and amplitude radar images is considered. For S band and X band SAR, the phase change in the trajectory signal of a moving target, the effects of shift and bifurcation of target responses on the radar image are analyzed in detail. It was found that the AVST algorithm has a small working range of unambiguous velocity estimate (up to ±10 m/s). It is shown that the ADAT algorithm has a higher quality of work in a wide velocity range and can effectively suppress the signals of stationary objects by 20...30 dB. The obtained characteristics allow us to make demands on the parameters of space-borne systems for remote sensing of the Earth and processing systems.

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