• Title/Summary/Keyword: port image

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Automatic Detection Approach of Ship using RADARSAT-1 Synthetic Aperture Radar

  • Yang, Chan-Su
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.14 no.2
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    • pp.163-168
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    • 2008
  • Ship detection from satellite remote sensing is a crucial application for global monitoring for the purpose of protecting the marine environment and ensuring marine security. It permits to monitor sea traffic including fisheries, and to associate ships with oil discharge. An automatic ship detection approach for RADARSAT Fine Synthetic Aperture Radar (SAR) image is described and assessed using in situ ship validation information collected during field experiments conducted on August 6, 2004. Ship detection algorithms developed here consist of five stages: calibration, land masking, prescreening, point positioning, and discrimination. The fine image was acquired of Ulsan Port, located in southeast Korea, and during the acquisition, wind speeds between 0 m/s and 0.4 m/s were reported. The detection approach is applied to anchoring ships in the anchorage area of the port and its results are compared with validation data based on Vessel Traffic Service (VTS) radar. Our analysis for anchoring ships, above 68 m in length (LOA), indicates a 100% ship detection rate for the RADARSAT single beam mode. It is shown that the ship detection performance of SAR for smaller ships like barge could be higher than the land-based radar. The proposed method is also applied to estimate the ship's dimensions of length and breadth from SAR radar cross section(RCS), but those values were comparatively higher than the actual sizes because of layover and shadow effects of SAR.

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A Study on the Perception of Korean Intellectuals on Botanical Gardens during the Open Port Period (식물원에 대한 개항기 한국 지식인의 인식 고찰)

  • Kim, Jung-Hwa;Zoh, Kyung-Jin
    • Journal of the Korean Institute of Landscape Architecture
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    • v.44 no.2
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    • pp.96-107
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    • 2016
  • This study is an attempt to trace the origins of Korean botanical gardens prior to the construction of the botanical garden in Changgyeonggung Palace. We trace the time period during which Korean intellectuals first understood and appropriated botanical gardens based on accounts found in travel journals. These were written by members of delegations sent to Japan, Russia, and Great Britain and by students who had studied abroad, such as Tchi-Ho Yun and Kil-Chun Yu, during the open port period from 1876 to 1910. This study shows that the term "botanical garden" did not appear in any of the travel journals and the delegations did not show much interest in them until the 1880s. Japan had planned to introduce the different types of botanical gardens to the delegations from the Joseon Dynasty, but the delegations left no official records or related accounts regarding their visits. In contrast, members of delegations who were sent to Russia, Europe, and America after the 1890s began to pay attention to botanical gardens. They considered botanical gardens as a representative and essential part of Western culture and attempted to introduce them in Korea as essential tools for academic development as well as for enlightenment. Although many Korean intellectuals' opinions about the necessity of a botanical garden did not actually lead to its construction during the open port period, such a movement was significant in that it strengthened the botanical garden's image as a symbol of civilization. Apart from tracing the origins of the botanical gardens in Korea, this study serves as fundamental research material for understanding the establishment of the Changgyeongwon Botanical Garden in 1909.

Study on the Control and Topographical Recognition of an Underwater Rubble Leveling Robot for Port Construction (항만공사용 사석 고르기 수중로봇의 제어 및 지형인식에 관한 연구)

  • Kim, Tae-Sung;Kim, Chi-Hyo;Lee, Jin-Hyung;Lee, Min-Ki
    • Journal of Navigation and Port Research
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    • v.42 no.3
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    • pp.237-244
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    • 2018
  • When underwater rubble leveling work is carried out by a robot, real-time information on the topography around the robot is required for remote control. If the topographical information with respect to the current position of the robot is displayed as a 3D graphic image, it allows the operator to plan the working schedules and to avoid accidents like rollovers. Up until now, the topographical recognition was conducted by multi-beam sonars, which were only used to assess the quality before and after the work and could not be used to provide real-time information for remote control. This research measures the force delivered to the bucket which presses the mound to determine whether contact is made or not, and the contact position is calculated by reading the cylinder length. A variable bang-bang control algorithm is applied to control the heavy robot arms for the positioning of the bucket. The proposed method allows operators to easily recognize the terrain and intuitively plan the working schedules by showing relatively 3-D gratifications with respect to the robot body. In addition, the operating patterns of a skilled operator are programmed for raking, pushing, moving, and measuring so that they are automatically applied to the underwater rubble leveling work of the robot.

The Analysis of Coastal Erosion and Erosion Impact Assessment in the East Coast (동해안 침식 원인분석 및 침식 영향도 평가)

  • Park, Seon Jung;Seo, Heui Jung;Park, Seung Min;Park, Seol Hwa;Ahn, Ike Jang;Seo, Gyeong Sik
    • Journal of Korean Society of Coastal and Ocean Engineers
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    • v.33 no.6
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    • pp.246-256
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    • 2021
  • Various development projects occurring on the coast cause an imbalance of surface sediments, causing coastal disasters or irreversible coastal erosion. Coastal erosion caused by the influence of various port structures built through coastal development can be directly identified by evaluating changes in the sediment budget, longshore sediment, and cross-shore sediment. In other words, it will be possible to evaluate the causality between coastal development and coastal erosion by classifying regions due to single cause and regions due to multiple causes according to the changes in the sediment classified into the three types mentioned above. In this study, the cause of long-term and continuous erosion was analyzed based on the analysis results of the coastal development history and the Coastal Erosion Monitoring targeting the coast of Gangwon-do and Gyeongsangbuk-do on the east coast. In addition, in order to evaluate the degree of erosion caused by the construction of artificial coastal structures, the concept of erosion impact assessment was established, three methods were proposed for the impact assessment. The erosion impact of Hajeo port was assessed using the results of satellite image analysis presented in the Coastal Erosion Monitoring Report, it was assessed that the development of Hajeo port had an impact of 93.4% on erosion, and that of the coastal road construction had an impact of 6.6%.

Speaker Detection System for Video Conference (영상회의를 위한 화자 검출 시스템)

  • Lee, Byung-Sun;Ko, Sung-Won;Kwon, Heak-Bong
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.17 no.5
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    • pp.68-79
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    • 2003
  • In this paper, we propose a system that detects the current speaker in multi-speaker video conference by using lip motion. First, the system detects the face and lip area of each of the speakers using face color and shape information. Then, to detect the current speaker, it calculates the change between the current frame and the previous frame. To accomplish this, we used two CCD cameras. One is a general CCD camera, the other is a PTZ camera controlled by RS-232C serial port. The result is a system capable of detecting the face of current speaker in a video feed with more than three people, regardless of orientation of the faces. With this system, it only takes 4 to 5 seconds to zoom in on the speaker from the initial image. Also, it is amore efficient image transmission system for such things as video conference and internet broadcasting because it offers a face area screen at a resolution of 320X240, while at the same time providing a whole background screen.

Controller for Single Line Tracking Autonomous Guidance Vehicle Using Machine Vision

  • Shin, Beom-Soo;Choi, Young-Dae;Ying, Yibin
    • Agricultural and Biosystems Engineering
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    • v.6 no.2
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    • pp.47-53
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    • 2005
  • AMachine vision is a promising tool for the autonomous guidance of farm machinery. Conventional CCD camera for the machine vision needs a desktop PC to install a frame grabber, however, a web camera is ready to use when plugged in the USB port. A web camera with a notebook PC can replace existing camera system. Autonomous steering control system of this research was intended to be used for combine harvester. If the web camera can recognize cut/uncut edge of crop, which will be the reference for steering control, then the position of the machine can be determined in terms of lateral offset and heading angle. In this research, a white line was used as a cut/uncut edge of crop for steering control. Image processing algorithm including capturing image in the web camera was developed to determine the desired travel path. An experimental vehicle was constructed to evaluate the system performance. Since the vehicle adopted differential drive steering mechanism, it is steered by the difference of rotation speed between left and right wheels. According to the position of vehicle, the steering algorithm was developed as well. Evaluation tests showed that the experimental vehicle could travel within an RMS error of 0.8cm along the desired path at the ground speed of $9\sim41cm/s$. Even when the vehicle started with initial offsets or tilted heading angle, it could move quickly to track the desired path after traveling $1.52\sim3.5m$. For turning section, i.e., the curved path with curvature of 3 m, the vehicle completed its turning securely.

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Radiology Teaching Files on the Internet (인터넷상에 올려진 Radiology Teaching File에 관한 연구)

  • Lim Eun-Chung;Kim Eun-Kyung
    • Journal of Korean Academy of Oral and Maxillofacial Radiology
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    • v.26 no.2
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    • pp.201-210
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    • 1996
  • There is increasing attention about radiology teaching files on the Internet in the field of diagnostic radiology. The purpose of this study was to aid in the creation of new radiology teaching file by analysing the present radiology teaching file sites on the Internet with many aspects and evaluating images on those sites, using Macintosh IIci computer, 28.8kbps TelePort Fax/Modem, Netscape Navigator 2.0 software The results were as follow : 1. Analysis of radiology teaching file sites (l) Country distribution was the highest in USA(57.5%). (2) Average number of cases was 186 cases and radiology teaching file sites with search engine were 9 sites (22.5%). (3) At the method of case arrangement, anatomic area type and diagnosis type were found at the 10 sites(25%) each, question & answer type was found at the 9 sites(22.5%). (4) Radiology teaching file sites with oro-maxillofacial disorder were 9 sites(22.5%). (5) At the image format, GIF format was found at the 14 sites(35%). and ]pEG format found at the 14 sites(35%). (6) Created year was the highest in 1995(43.7%). (7) Continuing case upload was found at the 35 sites(87.5%). 2. Evaluation of images on the radiology teaching files (l) Average file size of GIF format (71 Kbyte) was greater than that of JPEG format(24 Kbyte). (p<0.001) (2) Image quality of GIF format was better than that of JPEG format. (p<0.001).

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Wireless image processing based management system the driver of the vehicle (무선 영상처리 기반의 차량 운전자 관리 시스템)

  • Seo, Ji-Hwan;Lee, Jae-Hyun;Kang, Sung-In;Shin, Dong-Suk;Kim, Kwan-Hyung
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2009.10a
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    • pp.355-358
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    • 2009
  • Due to growth of electronics and control devices, automation and situational awareness systems have been applied by automobile. Vision systems with the introduction of unmanned system being actively developed, but are still high price and visual information is passed through the cable, because of cars are difficult to install. In this paper, can be installed inside the car at low-cost, simple image processing device through a wireless communication know the obstacles and the alarm system based on Zigbee wireless communication, infrared and ultrasonic sensors to monitor the situation through with easy parking cars outside the system design was implemented.

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Automatic Container Placard Recognition System (컨테이너 플래카드 자동 인식 시스템)

  • Heo, Gyeongyong;Lee, Imgeun
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.23 no.6
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    • pp.659-665
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    • 2019
  • Various placards are attached to the surface of a container depending on the risk of the cargo loaded. Containers with dangerous goods should be managed separately from ordinary containers. Therefore, as part of the port automation system, there is a demand for automatic recognition of placards. In this paper, proposed is a system that automatically extracts the placard area based on the shape features of the placard and recognizes the contents in it. Various distortions can be caused by the surface curvature of the container, therefore, attention should be paid to the area extraction and recognition process. The proposed system can automatically extract the region of interest and recognize the placard using the feature that the placard is diamond shaped and the class number is written just above the lower vertex. When the proposed system is applied to real images, the placard can be recognized without error, and the used techniques can be applied to various image analysis systems.

A Construction of Web Application Platform for Detection and Identification of Various Diseases in Tomato Plants Using a Deep Learning Algorithm (딥러닝 알고리즘을 이용한 토마토에서 발생하는 여러가지 병해충의 탐지와 식별에 대한 웹응용 플렛폼의 구축)

  • Na, Myung Hwan;Cho, Wanhyun;Kim, SangKyoon
    • Journal of Korean Society for Quality Management
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    • v.48 no.4
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    • pp.581-596
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    • 2020
  • Purpose: purpose of this study was to propose the web application platform which can be to detect and discriminate various diseases and pest of tomato plant based on the large amount of disease image data observed in the facility or the open field. Methods: The deep learning algorithms uesed at the web applivation platform are consisted as the combining form of Faster R-CNN with the pre-trained convolution neural network (CNN) models such as SSD_mobilenet v1, Inception v2, Resnet50 and Resnet101 models. To evaluate the superiority of the newly proposed web application platform, we collected 850 images of four diseases such as Bacterial cankers, Late blight, Leaf miners, and Powdery mildew that occur the most frequent in tomato plants. Of these, 750 were used to learn the algorithm, and the remaining 100 images were used to evaluate the algorithm. Results: From the experiments, the deep learning algorithm combining Faster R-CNN with SSD_mobilnet v1, Inception v2, Resnet50, and Restnet101 showed detection accuracy of 31.0%, 87.7%, 84.4%, and 90.8% respectively. Finally, we constructed a web application platform that can detect and discriminate various tomato deseases using best deep learning algorithm. If farmers uploaded image captured by their digital cameras such as smart phone camera or DSLR (Digital Single Lens Reflex) camera, then they can receive an information for detection, identification and disease control about captured tomato disease through the proposed web application platform. Conclusion: Incheon Port needs to act actively paying.