• 제목/요약/키워드: Multi Sensor Integration

검색결과 71건 처리시간 0.025초

Integration of Multi-spectral Remote Sensing Images and GIS Thematic Data for Supervised Land Cover Classification

  • Jang Dong-Ho;Chung Chang-Jo F
    • 대한원격탐사학회지
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    • 제20권5호
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    • pp.315-327
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    • 2004
  • Nowadays, interests in land cover classification using not only multi-sensor images but also thematic GIS information are increasing. Often, although useful GIS information for the classification is available, the traditional MLE (maximum likelihood estimation techniques) does not allow us to use the information, due to the fact that it cannot handle the GIS data properly. This paper propose two extended MLE algorithms that can integrate both remote sensing images and GIS thematic data for land-cover classification. They include modified MLE and Bayesian predictive likelihood estimation technique (BPLE) techniques that can handle both categorical GIS thematic data and remote sensing images in an integrated manner. The proposed algorithms were evaluated through supervised land-cover classification with Landsat ETM+ images and an existing land-use map in the Gongju area, Korea. As a result, the proposed method showed considerable improvements in classification accuracy, when compared with other multi-spectral classification techniques. The integration of remote sensing images and the land-use map showed that overall accuracy indicated an improvement in classification accuracy of 10.8% when using MLE, and 9.6% for the BPLE. The case study also showed that the proposed algorithms enable the extraction of the area with land-cover change. In conclusion, land cover classification results produced through the integration of various GIS spatial data and multi-spectral images, will be useful to involve complementary data to make more accurate decisions.

GPS 신호 단절 상황에서 IMU 사양에 따른 보조센서 통합을 이용한 정확도 분석 (Accuracy Analysis using Assistant Sensor Integration on Various IMU during GPS Signal Blockage)

  • 이원진;권재현;이종기;한중희
    • 한국측량학회지
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    • 제28권1호
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    • pp.65-72
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    • 2010
  • 본 연구에서는 MMS인 경우 고성능의 중급 IMU가 사용되고 보행자 항법시스템에서는 MEMS형의 저급 IMU가 사용된다고 가정한 후 GPS 신호가 단절되었을 경우 IMU에 의해 생성되는 위치 및 자세 오차를 시뮬레이션을 통하여 계산하였다. 또한 GPS 신호 단절 시에 고도계, 전자나침반 및 2가지 센서를 동시에 이용하는 MultiSensor를 이용하여 중급 및 저급 IMU를 보정하였을 경우의 정확도 향상 효과를 분석하였다. 실험 결과 중급 IMU의 경우 MMS에서 요구되는 3차원 위치오차 정확도가 5m라고 가정할 경우 GPS 단절 시간이 30초가 넘으면 요구 정확도를 만족하지 못하였다. 하지만 GPS 단절 구간에서 고도계 전자나침반 그리고 MultiSensor를 이용하여 IMU 보정을 수행할 경우 약 60초까지 요구정확도를 만족하였다. 또한 고도계 및 전자나침반을 동시에 사용할 경우 고도계에 의한 영향이 더욱 큰 것으로 판단된다 MEMS IMU와 같은 저급 IMU가 사용되는 보행자 항법 시스템의 요구 위치 정확도가 약 20m라고 가정할 경우 4초 이후에는 요구 정확도를 만족하지 못하였으며 자세 오차도 매우 급증하였다. 하지만 GPS 신호 단절시 보조센서를 이용하여 저급 IMU 보정을 수행하였을 경우 약 15초까지 요구 정확도를 만족할수 있을 것으로 시뮬레이션 결과 예측되었으며 또한 중급 IMU 실험과는 반대로 보행자 항법과 같은 속도가 느린 시스템에서 고도계 및 전자나침반 2가지 센서를 동시에 사용할 경우 전자나침반에 의한 영향이 더욱 큰 것으로 나타났다. 본 연구는 GPS 신호 단절이 발생할 수 있는 지역에 대하여 MMS 또는 보행자 항법시스템을 운용할 경우 요구 정확도에 따른 보조센서 통합을 이용하여 정확도를 높이는 자료로써 사용될 수 있을 것으로 예상된다.

항공전자 멀티센서 정보 융합 구조 연구 (A Study on a Multi-sensor Information Fusion Architecture for Avionics)

  • 강신우;이승필;박준현
    • 한국항행학회논문지
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    • 제17권6호
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    • pp.777-784
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    • 2013
  • 다른 종류의 센서에서 생산되는 데이터를 하나의 정보로 종합하는 공정으로 멀티 센서 데이터 융합이 연구되고 있으며 다양한 플랫폼에서 활용되고 있다. 항공기도 여러 종류의 센서들을 장착하고 있으며 항공전자 체계에서 이를 통합하여 관리하고 있다. 항공기 센서의 성능이 높아지면서 항공전자 관점에서 센서 정보의 통합이 점차 증가하고 있다. 센서에서 생산된 데이터를 하나의 융합된 정보로 항공기 조종사에게 전시 장비로 시현하기 위한 융합을 담당하는 소프트웨어 관점에서 정보 융합을 다루는 연구는 활성화 되지 않고 있다. 항공기에서 정보 융합의 목적은 올바른 전투상황을 조종사에게 제공하여 임무를 수행하는 데에 필요한 결정을 돕고 이를 위한 조종 업무량을 최소화하는 것이다. 본 논문에서는 다양한 센서들이 운용되는 항공전자 시스템의 멀티센서데이터 융합을 위한 소프트웨어 관점에서 센서들이 생산하는 데이터가 사용자에게 종합된 정보 형태로 제공되기 위한 구조를 보인다.

센서 융합형 지능형 부품 제조를 위한 적층 제조 기술 연구 (Additive Manufacturing for Sensor Integrated Components)

  • 정임두;이민식;우영진;김경태;유지훈
    • 한국분말재료학회지
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    • 제27권2호
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    • pp.111-118
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    • 2020
  • The convergence of artificial intelligence with smart factories or smart mechanical systems has been actively studied to maximize the efficiency and safety. Despite the high improvement of artificial neural networks, their application in the manufacturing industry has been difficult due to limitations in obtaining meaningful data from factories or mechanical systems. Accordingly, there have been active studies on manufacturing components with sensor integration allowing them to generate important data from themselves. Additive manufacturing enables the fabrication of a net shaped product with various materials including plastic, metal, or ceramic parts. With the principle of layer-by-layer adhesion of material, there has been active research to utilize this multi-step manufacturing process, such as changing the material at a certain step of adhesion or adding sensor components in the middle of the additive manufacturing process. Particularly for smart parts manufacturing, researchers have attempted to embed sensors or integrated circuit boards within a three-dimensional component during the additive manufacturing process. While most of the sensor embedding additive manufacturing was based on polymer material, there have also been studies on sensor integration within metal or ceramic materials. This study reviews the additive manufacturing technology for sensor integration into plastic, ceramic, and metal materials.

MULTI-SENSOR INTEGRATION SYSTEM FOR FOREST FIRE PREVENTION

  • Kim Eun Hee;Chi Jeong Hee;Shon Ho Sun;Jung Doo Young;Lee Chung Ho;Ryu Keun Ho
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2005년도 Proceedings of ISRS 2005
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    • pp.450-453
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    • 2005
  • A forest fire occurs mainly as natural factor such as wind, temperature or human factor such as light. Recently, the most of forest fire prevention is prediction or prevision against forest fire by using remote sensing technology. However in order to forest fire prevention, the remote sensing has many limitations such as high cost and advanced technologies and so on. Therefore, we need to multisensor integration system that utilize not only remote sensing but also in-situ sensing in order to reduce large damage of forest fire though analysis of happen cause and prediction routing of occurred forest fire. In this paper we propose a multisensor integration system that offers prediction information of factors and route of forest fire by integrates collected data from remote sensor and in-situ sensor for forest fire prevention. The proposed system is based on wireless sensor network for collect observed data from various sensors. The proposed system not only offers great quality information because firstly, raw data level fuse different format of collected data from remote and in-situ sensor but also accomplish information level fusion based on result of first stage. Offered information from our system can help early prevention of factor and early prevision against occurred forest fire which transfer to SMS service or alert service into monitoring interface of administrator.

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3-D Hetero-Integration Technologies for Multifunctional Convergence Systems

  • 이강욱
    • 마이크로전자및패키징학회지
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    • 제22권2호
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    • pp.11-19
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    • 2015
  • Since CMOS device scaling has stalled, three-dimensional (3-D) integration allows extending Moore's law to ever high density, higher functionality, higher performance, and more diversed materials and devices to be integrated with lower cost. 3-D integration has many benefits such as increased multi-functionality, increased performance, increased data bandwidth, reduced power, small form factor, reduced packaging volume, because it vertically stacks multiple materials, technologies, and functional components such as processor, memory, sensors, logic, analog, and power ICs into one stacked chip. Anticipated applications start with memory, handheld devices, and high-performance computers and especially extend to multifunctional convengence systems such as cloud networking for internet of things, exascale computing for big data server, electrical vehicle system for future automotive, radioactivity safety system, energy harvesting system and, wireless implantable medical system by flexible heterogeneous integrations involving CMOS, MEMS, sensors and photonic circuits. However, heterogeneous integration of different functional devices has many technical challenges owing to various types of size, thickness, and substrate of different functional devices, because they were fabricated by different technologies. This paper describes new 3-D heterogeneous integration technologies of chip self-assembling stacking and 3-D heterogeneous opto-electronics integration, backside TSV fabrication developed by Tohoku University for multifunctional convergence systems. The paper introduce a high speed sensing, highly parallel processing image sensor system comprising a 3-D stacked image sensor with extremely fast signal sensing and processing speed and a 3-D stacked microprocessor with a self-test and self-repair function for autonomous driving assist fabricated by 3-D heterogeneous integration technologies.

Improved Georeferencing of a Wearable Indoor Mapping System Using NDT and Sensor Integration

  • Do, Linh Giang;Kim, Changjae;Kim, Han Sae
    • 한국측량학회지
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    • 제38권5호
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    • pp.425-433
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    • 2020
  • Three-dimensional data has been used for different applications such as robotics, building reconstruction, and so on. 3D data can be generated from an optical camera or a laser scanner. Especially, a wearable multi-sensor system including the above-mentioned sensors is an optimized structure that can overcome the drawbacks of each sensor. After finding the geometric relationships between sensors, georeferencing of the datasets acquired from the moving system, should be carried out. Especially, in an indoor environment, error propagation always causes problem in the georeferencing process. To improve the accuracy of this process, other sources of data were used to combine with LiDAR (Light Detection and Ranging) data, and various registration methods were also tested to find the most suitable way. More specifically, this paper proposed a new process of NDT (Normal Distribution Transform) to register the LiDAR point cloud, with additional information from other sensors. For real experiment, a wearable mapping system was used to acquire datasets in an indoor environment. The results showed that applying the new process of NDT and combining LiDAR data with IMU (Inertial Measurement Unit) information achieved the best result with the RMSE 0.063 m.

저가형 요분석 시스템의 다중 광 검출 모듈개발 (Development of multi-colorimeter module for low-cost urinalysis strip readers)

  • 예수영;전용욱;정도운;전계록;노정훈
    • 센서학회지
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    • 제17권5호
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    • pp.387-395
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    • 2008
  • An optic module system is developed adopting multiple colorimetry units for the measurement of multi-pad urinalysis dipsticks. Multiple photometry system instead of moving mechanisms has the advantages of system reliability and simplicity as well as economic aspects due to the recent development of economic color light emitting diodes and stable photo sensors. An integration amplifier with programmable integration time, a current source circuit with selectable and stable current settings were connected through analog multiplexers to thirty light emitting diodes for illumination and ten photo transistors for reading each strip pad. All the circuits are controlled by a microprocessor through a simple set of serial communication commands. The detect ability is eighteen times better than the minimum color difference of the test grading which is 0.013 in urobilinogen in the color space defined in this paper.

CVD공정으로 제작된 멀티레이어 그래핀의 압저항 효과를 이용한 직접화된 압력센서 개발 (Development of Integration Pressure Sensor Using Piezoresistive Effect of Chemical Vapor Deposition (CVD) Produced Multilayer Graphene)

  • 임대윤;하태원;이칠형
    • 센서학회지
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    • 제32권6호
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    • pp.470-474
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    • 2023
  • In this study, a diaphragm-type pressure sensor was developed using multi-layer(four-layer) graphene produced at 1 nm thickness by thermally transferring single-layer graphene produced by chemical vapor deposition (CVD) to a 6" silicon wafer. By measuring the gauge factor, we investigated whether it was possible to produce a pressure sensor of consistent quality. As a result of the measurement, the pressure sensor using multilayer graphene showed linearity and had a gauge factor of about 17.5. The gauge factor of the multilayer graphene-based pressure sensor produced through this study is lower than that of doped silicon, but is more sensitive than a general metal sensor, showing that it can be sufficiently used as a commercialized sensor.

고해상도 광학영상과 SAR 영상 간 정합 기법 (Registration Method between High Resolution Optical and SAR Images)

  • 전형주;김용일
    • 대한원격탐사학회지
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    • 제34권5호
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    • pp.739-747
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    • 2018
  • 다중센서 위성영상 간 통합 분석 및 융합과 관련된 연구가 활발히 진행되고 있다. 이를 위해서는 다중센서 영상 간 정합이 선행되어야 한다. 대표적인 정합 기법으로는 SIFT (Scale Invariant Feature Transform)와 같은 알고리즘이 존재한다. 그러나, 광학영상과 SAR (Synthetic Aperture Radar)영상은 취득 시 센서 자세와 방사 특성의 상이함으로 영상 간 분광적인 특성이 비선형성을 이뤄 기존 기법을 적용하기에 어렵다. 이를 해결하기 위해, 본 연구에서는 특징기반 정합기법인 SAR-SIFT (Scale Invariant Feature Transform)와 형상 서술자 벡터 DLSS (Dense Local Self-Similarity)를 결합하여 개선된 영상 정합기법을 제안하였다. 본 실험 지역은 대전 일대에서 촬영된 KOMPSAT-2 영상과 Cosmo-SkyMed 영상을 이용하여 실험하였다. 제안 기법을 비교평가하기 위해 특징점 및 정합쌍 추출에 대해 대표적인 기존 기법인 SIFT와 SAR-SIFT를 이용하였다. 실험 결과를 통해 제안 기법은 기존 기법들과 다르게 두 실험 지역에서 참정합쌍을 추출하였다. 또한 추출된 정합쌍을 통한 정합 결과 정성적으로 우수하게 정합되었으며, 정량적으로도 두 실험 지역에서 각각 RMSE (Root Mean Square Error) 1.66 m, 2.65 m로 우수한 정합 결과를 보였다.