• 제목/요약/키워드: Visual Sensing

검색결과 257건 처리시간 0.032초

Biological smart sensing strategies in weakly electric fish

  • Nelson, Mark E.
    • Smart Structures and Systems
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    • 제8권1호
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    • pp.107-117
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    • 2011
  • Biological sensory systems continuously monitor and analyze changes in real-world environments that are relevant to an animal's specific behavioral needs and goals. Understanding the sensory mechanisms and information processing principles that biological systems utilize for efficient sensory data acquisition may provide useful guidance for the design of smart-sensing systems in engineering applications. Weakly electric fish, which use self-generated electrical energy to actively sense their environment, provide an excellent model system for studying biological principles of sensory data acquisition. The electrosensory system enables these fish to hunt and navigate at night without the use of visual cues. To achieve reliable, real-time task performance, the electrosensory system implements a number of smart sensing strategies, including efficient stimulus encoding, multi-scale virtual sensor arrays, task-dependent filtering and online subtraction of sensory expectation.

Application of RS and GIS in Extraction of Building Damage Caused by Earthquake

  • Wang, X.Q.;Ding, X.;Dou, A.X.
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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    • pp.1206-1208
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    • 2003
  • The extraction of earthquake damage from remote sensed imagery requires high spatial resolution and temporal effectiveness of acquisition of imagery. The analog photographs and visual interpretation were taken traditionally. Now it is possible to acquire damage information from many commercial high resolution RS satellites. The key techniques are processing velocity and precision. The authors developed the automatic / semiautomatic image process techniques including feature enhancement, and classification, designed the emergency Earthquake Damage and Losses Evaluate System based on Remote Sensing (RSEDLES). The paper introduced the functions of RSEDLES as well as its application to the earthquakes occurred recently.

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유연부품조립을 위한 시각측정시스템의 설계

  • 김진영;조형석
    • 한국광학회지
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    • 제13권4호
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    • pp.283-288
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    • 2002
  • 유연부품은 조립 시에 변형이 발생하기 때문에 로봇을 이용한 자동조립에서 이의 성공적인 조립을 위해서는 부품변형 및 상대오차를 효과적으로 측정할 수 있는 방법이 필요하다. 이에 본 논문에서는 시각센서를 이용하여 상대오차 및 부품변형을 측정할 수 있는 3차원 측정시스템의 설계방법을 제안한다. 시스템의 광로해석을 통해 실제 작업공간과 카메라 영상면 사이의 사상관계를 해석하고, 이를 토대로 시스템의 설계방법을 제안한다. 또한 구현된 실제 시스템을 이용한 조립실험을 통해 제안된 시스템의 유효성을 검증한다.

Comparison of Fusion Methods for Generating 250m MODIS Image

  • Kim, Sun-Hwa;Kang, Sung-Jin;Lee, Kyu-Sung
    • 대한원격탐사학회지
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    • 제26권3호
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    • pp.305-316
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    • 2010
  • The MODerate Resolution Imaging Spectroradiometer (MODIS) sensor has 36 bands at 250m, 500m, 1km spatial resolution. However, 500m or 1km MODIS data exhibits a few limitations when low resolution data is applied at small areas that possess complex land cover types. In this study, we produce seven 250m spectral bands by fusing two MODIS 250m bands into five 500m bands. In order to recommend the best fusion method by which one acquires MODIS data, we compare seven fusion methods including the Brovey transform, principle components algorithm (PCA) fusion method, the Gram-Schmidt fusion method, the least mean and variance matching method, the least square fusion method, the discrete wavelet fusion method, and the wavelet-PCA fusion method. Results of the above fusion methods are compared using various evaluation indicators such as correlation, relative difference of mean, relative variation, deviation index, peak signal-to-noise ratio index and universal image quality index, as well as visual interpretation method. Among various fusion methods, the local mean and variance matching method provides the best fusion result for the visual interpretation and the evaluation indicators. The fusion algorithm of 250m MODIS data may be used to effectively improve the accuracy of various MODIS land products.

UAV와 BIM 정보를 활용한 시설물 외관 손상의 위치 측정 방법 (Structural Damage Localization for Visual Inspection Using Unmanned Aerial Vehicle with Building Information Modeling Information)

  • 이용주;박만우
    • 한국BIM학회 논문집
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    • 제13권4호
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    • pp.64-73
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    • 2023
  • This study introduces a method of estimating the 3D coordinates of structural damage from the detection results of visual inspection provided in 2D image coordinates using sensing data of UAV and 3D shape information of BIM. This estimation process takes place in a virtual space and utilizes the BIM model, so it is possible to immediately identify which member of the structure the estimated location corresponds to. Difference from conventional structural damage localization methods that require 3D scanning or additional sensor attachment, it is a method that can be applied locally and rapidly. Measurement accuracy was calculated through the distance difference between the measured position measured by TLS (Terrestrial Laser Scanner) and the estimated position calculated by the method proposed in this study, which can determine the applicability of this study and the direction of future research.

Real-Time Force Sensing in the Envelope of Zebrafish Egg during Micropipette Penetration

  • Yun, Seok;Kim, Deok-Ho;Kim, Byung-Kyu;Lee, Sang-Ho;Park, Gwi-Tae
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2003년도 ICCAS
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    • pp.2451-2456
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    • 2003
  • In biological cell manipulation, manual thrust or penetration of an injection pipette into an egg is currently performed by a skilled operator, relying only on visual feedback information. Massive load of various micro injection of either genes, fluid or cells in the postgenomic era calls a more reliable and automatic micro injection system that can test hundreds of genes or cell types at a single experiment. We initiated to study cellular force sensing in zebrafish eggs as the first step for the development of a more controllable micro injection system by any inexperienced operator. Zebrafish eggs at different developmental stages were collected and an integrated biomanipulation system was employed to measure cellular force during penetrating the egg envelope, the chorion. First of all, the biomanipulation system integrated with cellular force sensing instrument is implemented to measure the penetration force of cell membranes and characterize mechanical properties of zebrafish embryo cells. Furthermore, implementation of cellular force sensing system and calibration are presented. Finally, the cellular force sensing of penetrating cell membranes at each developmental stages was experimentally performed. The results demonstrated that the biomanipulation system with force sensing capability can measure cellular force at real-time while the injection operation is undergoing. The magnitude of the measured force was in the range of several hundreds of uN. The precise real-time measurement should provide the first step forwards for the development of an automatic and reliable injection system of various materials into biological cells.

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Integration of ERS-2 SAR and IRS-1 D LISS-III Image Data for Improved Coastal Wetland Mapping of southern India

  • Shanmugam, P.;Ahn, Yu-Hwan;Sanjeevi, S.;Manjunath, A.S.
    • 대한원격탐사학회지
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    • 제19권5호
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    • pp.351-361
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    • 2003
  • As the launches of a series of remote sensing satellites, there are various multiresolution and multi-spectral images available nowadays. This diversity in remotely sensed image data has created a need to be able to integrate data from different sources. The C-band imaging radar of ERS-2 due to its high sensitivity to coastal wetlands holds tremendous potential in mapping and monitoring coastal wetland features. This paper investigates the advantages of using ERS-2 SAR data combined with IRS-ID LISS-3 data for mapping complex coastal wetland features of Tamil Nadu, southern India. We present a methodology in this paper that highlights the mapping potential of different combinations of filtering and integration techniques. The methodology adopted here consists of three major steps as following: (i) speckle noise reduction by comparative performance of different filtering algorithms, (ii) geometric rectification and coregistration, and (iii) application of different integration techniques. The results obtained from the analysis of optical and microwave image data have proved their potential use in improving interpretability of different coastal wetland features of southern India. Based visual and statistical analyzes, this study suggests that brovey transform will perform well in terms of preserving spatial and spectral content of the original image data. It was also realized that speckle filtering is very important before fusing optical and microwave data for mapping coastal mangrove wetland ecosystem.

Generation of Super-Resolution Benchmark Dataset for Compact Advanced Satellite 500 Imagery and Proof of Concept Results

  • Yonghyun Kim;Jisang Park;Daesub Yoon
    • 대한원격탐사학회지
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    • 제39권4호
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    • pp.459-466
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    • 2023
  • In the last decade, artificial intelligence's dramatic advancement with the development of various deep learning techniques has significantly contributed to remote sensing fields and satellite image applications. Among many prominent areas, super-resolution research has seen substantial growth with the release of several benchmark datasets and the rise of generative adversarial network-based studies. However, most previously published remote sensing benchmark datasets represent spatial resolution within approximately 10 meters, imposing limitations when directly applying for super-resolution of small objects with cm unit spatial resolution. Furthermore, if the dataset lacks a global spatial distribution and is specialized in particular land covers, the consequent lack of feature diversity can directly impact the quantitative performance and prevent the formation of robust foundation models. To overcome these issues, this paper proposes a method to generate benchmark datasets by simulating the modulation transfer functions of the sensor. The proposed approach leverages the simulation method with a solid theoretical foundation, notably recognized in image fusion. Additionally, the generated benchmark dataset is applied to state-of-the-art super-resolution base models for quantitative and visual analysis and discusses the shortcomings of the existing datasets. Through these efforts, we anticipate that the proposed benchmark dataset will facilitate various super-resolution research shortly in Korea.

컬러 영상의 압축 센싱을 위한 경계보존 필터 및 시각적 가중치 적용 기반 그룹-희소성 복원 (Visually Weighted Group-Sparsity Recovery for Compressed Sensing of Color Images with Edge-Preserving Filter)

  • ;;박영현;전병우
    • 전자공학회논문지
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    • 제52권9호
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    • pp.106-113
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    • 2015
  • 본 논문에서는 컬러 영상의 압축 센싱 복원 기술에 인지시각시스템의 특성을 접목해 복원 영상의 화질을 향상 시키는 방법을 연구하였다. 제안하는 그룹-희소성 최소화 기반 컬러 채널별 시각적 가중치 적용 방법은 영상의 성긴 특성뿐만 아니라 인지시각시스템의 특성을 반영할 수 있도록 설계되었다. 또한, 복원 영상에서의 잡음을 제거하기 위하여 설계한 경계보존 필터는 영상의 경계 부분에 대한 디테일을 보존함으로써, 복원 영상의 품질을 향상 시키는 역할을 한다. 실험 결과, 제안하는 방법이 최신의 그룹-희소성 최소화 기반 방법들보다 평균 0.56 ~ 4dB 더 높은 PSNR을 달성함으로써, 객관적 성능을 향상시킬 수 있음을 확인하였으며, 주관적 화질 또한 기존 방법들에 비해 뛰어나다는 것을 복원된 영상 간 비교를 통해 확인하였다.

IRS-1C PAN 데이터와 Landsat TM 데이터의 종합방법 비교분석 (Comparison of Different Methods to Merge IRS-1C PAN and Landsat TM Data)

  • 안기원;서두천
    • 대한원격탐사학회지
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    • 제14권2호
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    • pp.149-164
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    • 1998
  • 본 연구에서는 지구자원탐사용 인공위성 화상데이터중에서 공간해상력이 우수한 RS-1C PAN 데이터와 Landsat TM 데이터를 중합(merging)하는데 있어서, 어떤 중합방법이 유효한지를 밝히고자 하였다. 각기 다른 두 화상데이터를 중합하기 위하여 IHS, PCA, HPF, ratio enhanoement 및 LUT방법을 적용하였으며, 이 방법들에 의하여 얻어진 화상들의 평가에 있어서는, 분광반사특성 보존성부분과 공간해상력 부분으로 나누어서 평가하였다. 그 결과 ratio enhancement방법이 분광반사특성의 보존성에 있어서 가장 좋은 결과를 나타내었다. 전체적인 화상의 시각적 판독평가에 있어서는 PCA방법이 다른 방법에 비하여 공간해상력이 우수한 것으로 파악되었으며 다음으로 HPF, ratio enhancement, IHS, LUT방법의 순으로 나타났다.