• 제목/요약/키워드: Remote Sensing and Applications

검색결과 479건 처리시간 0.03초

Regional Scale Satellite Data Sets for Agricultural, Hydrological and Environmental Applications in Zambia

  • Ngoma, Solomon
    • 한국농림기상학회:학술대회논문집
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    • 한국농림기상학회 2001년도 춘계 학술발표논문집
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    • pp.43-48
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    • 2001
  • Many applications in the areas of agricultural, hydrological and environmental resource management require data over very large areas and with a high imaging frequency - monitoring crop growth, water stress, seasonal wetland flooding and natural vegetation development. This precludes the use of fine resolution data (Landsat, Spot) on the grounds of cost, accessibility and low imaging frequency. Meteorological satellites have the potential to fill this need, given their very wide spatial coverage, and high repeat imaging. The Remote Sensing Unit (RSU) at the Zambia Meteorological Department routinely receives, processes and archives imagery from both Meteosat and NOAA AVHRR satellites. Here I wish to present some examples of applications of these data sets that arise from the RSU work - relationships between rainfall and vegetation development as assessed by satellite, derived information and seasonal patterns of flooding in the Barotse floodplain and the Kafue flats. I also wish to outline ways in which a more widespread use of this data by the Zambian institutions canbe achieved.

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국내학회지 논문 리뷰를 통한 원격탐사 분야 딥러닝 연구 동향 분석 (Analysis of Deep Learning Research Trends Applied to Remote Sensing through Paper Review of Korean Domestic Journals)

  • 이창희;윤예린;배세정;어양담;김창재;신상호;박소영;한유경
    • 한국측량학회지
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    • 제39권6호
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    • pp.437-456
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    • 2021
  • 우리나라 원격탐사 분야에서는 2017년을 기점으로 딥러닝의 뛰어난 성능을 바탕으로 연구 성과를 나타내기 시작하여, 현재는 영상 전처리부터 활용까지 원격탐사의 거의 모든 분야에서 딥러닝을 적용하는 연구가 수행되고 있다. 원격탐사 분야에 적용된 딥러닝의 연구 동향 분석을 수행하기 위해, 2021년 10월까지 출판된 원격탐사 분야에 딥러닝이 적용된 국내 논문들을 수집하였다. 수집된 60여 편의 논문들을 바탕으로 딥러닝 네트워크 목적, 원격탐사 활용 분야, 원격탐사 영상 취득 탑재체별로 나누어 연구 동향 분석을 수행하였다. 또한, 논문에서 훈련자료 구축에 효과적으로 이용되었던 오픈소스데이터들을 정리하였다. 본 논문을 통해 현시점에서 딥러닝이 원격탐사 분야에 자리잡기 위해 해결해야 할 문제점들을 제시하면서, 향후 연구자들의 원격탐사 분야에 딥러닝 기술을 접목하기 위한 연구 방향을 설정하는 데 도움을 제공하고자 한다.

Infrastructure of Grid-based Distributed Remotely Sensed Images Processing Environment and its Parallel Intelligence Algorithms

  • ZHENG, Jiang;LUO, Jian-Cheng;Hu, Cheng;CHEN, Qiu-Xiao
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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    • pp.1284-1286
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    • 2003
  • There is a growing demand on remotely sensed and GIS data services in modern society. However, conventional WEB applications based on client/server pattern can not meet the criteria in the future . Grid computing provides a promising resolution for establishing spatial information system toward future applications. Here, a new architecture of the distributed environment for remotely sensed data processing based on the middleware technology was proposed. In addition, in order to utilize the new environment, a problem had to be algorithmically expressed as comprising a set of concurrently executing sub-problems or tasks. Experiment of the algorithm was implemented, and the results show that the new environmental can achieve high speedups for applications compared with conventional implementation.

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Applying Standards of Image Quality: Issues and Strategies

  • Chang, Eunmi;Park, Yongjae
    • 대한원격탐사학회지
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    • 제36권5_2호
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    • pp.907-916
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    • 2020
  • Images taken from airplanes, satellites and drones have been used in various realms, and the kinds and specifications of images are enlarged gradually. Despite the importance of images on diverse applications, the quality information of the images is controlled by each agency or institute respectively without any principle, or even is neglected, because the application of standards to the final products of image is not easy in Korea. We aim to review necessities and strategies for applying international standards on image and to suggest potential issues and possibilities to make standards in action.

On Combining Genetic Algorithm (GA) and Wavelet for High Dimensional Data Reduction

  • Liu, Zhengjun;Wang, Changyao;Zhang, Jixian;Yan, Qin
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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    • pp.1272-1274
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    • 2003
  • In this paper, we present a new algorithm for high dimensional data reduction based on wavelet decomposition and Genetic Algorithm (GA). Comparative results show the superiority of our algorithm for dimensionality reduction and accuracy improvement.

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Development and Verification of the Compact Airborne Imaging Spectrometer System

  • Lee, Kwang-Jae;Yong, Sang-Soon;Kim, Yong-Seung
    • 대한원격탐사학회지
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    • 제24권5호
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    • pp.397-408
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    • 2008
  • A wide variety of applications of imaging spectrometer have been proved using data from airborne systems. The Compact Airborne Imaging Spectrometer System (CAISS) was jointly designed and developed as the airborne hyperspectral imaging system by Korea Aerospace Research Institute (KARI) and ELOP inc., Israel. The primary mission of the CAISS is to acquire and provide full contiguous spectral information with high spatial resolution for advanced applications in the field of remote sensing. The CAISS consists of six physical units; the camera system, the gyro-stabilized mount, the jig, the GPS/INS, the power inverter and distributor, and the operating system. These subsystems are to be tested and verified in the laboratory before the flight. Especially the camera system of the CAISS has to be calibrated and validated with the calibration equipments such as the integrating sphere and spectral lamps. To improve data quality and its availability, it is the most important to understand the mechanism of imaging spectrometer system and the radiometric and spectral characteristics. The several performance tests of the CAISS were conducted in the camera system level. This paper presents the major characteristics of the CAISS, and summarizes the results of performance tests in the camera system level.

OCI and ROCSAT-1 Development, Operations, and Applications

  • Chen, Paul;Lee, L.S.;Lin, Shin-Fa
    • 대한원격탐사학회지
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    • 제15권4호
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    • pp.367-375
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    • 1999
  • This paper describes the development, operations, and applications of ROCSAT-l and its Ocean Color Imager (OCI) remote-sensing payload. It is the first satellite program of NSPO. The satellite was successfully launched by Lockheed Martin's Athena on January 26, 1999 from Cape Canaveral, Florida. ROCSAT-l is a Low Earth Orbit (LEO) experimental satellite. Its circular orbit has an altitude of 600km and an inclination angle of 35 degrees. The satellite is designed to carry out scientific research missions, including ocean color imaging, experiments on ionospheric plasma and electrodynamics, and experiments using Ka-band (20∼30GHz) communication payloads. The OCI payload is utilized to observe the ocean color in 7 bands (including one redundant band) of Visible and Near-Infrared (434nm∼889nm) range with the resolution of 800m at nadir and the swath of 702km. It employs high performance telecentric optics, push-broom scanning method using Charge Coupled Devices (CCD) and large-scale integrated circuit chips. The water leaving radiance is estimated from the total inputs to the OCI, including the atmospheric scattering. The post-process estimates the water leaving radiance and generates different end products. The OCI has taken images since February 1999 after completing the early orbit checkout. Analyses have been performed to evaluate the performances of the instrument in orbit and to compare them with the pre-launch test results. This paper also briefly describes the ROCSAT-l mission operations. The spacecraft operating modes and ROCSAT Ground Segment operations are delineated, and the overall initial operations of ROCSAT-l are summarized.

Reliability Model for Distributed Remote Sensing Application

  • Achalakul, Tiranee;Wattanapongsakorn, Naruemon
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2002년도 ITC-CSCC -1
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    • pp.293-296
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    • 2002
  • This paper discusses a software reliability model for the distributed s-PCT algorithm fur remote sensing applications. The distributed algorithm is designed based on a Manager-Worker threading concept and goes further to use redundancy to achieve fault tolerance. The paper provides a status report on our progress in developing the reliability concept and applying it to create a model for the distributed s-PCT In particular, we are interested ill the algorithm performance versus reliability.

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3차원 지형정보를 이용한 지형영상의 정합기법 (Terrain Matching Technique Using 3-D Terrain Maps)

  • 김준식;강민석;박래홍;이쾌희
    • 대한원격탐사학회지
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    • 제7권1호
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    • pp.13-27
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    • 1991
  • DEM(digital elevation map) is a very useful information in various applications. In this paper, we have studied on the terrain matching algorithm using the DEM, which was proposed by Rodriguez and Aggarwal(1990) for an aircraft navigation system. We evaluated its performance using syntactic images. Cliff maps and critical points are used for the reduction of computation time and information size to be processed. The computer simulation shows that though the computational complexity is high, the technique is efficient even to noisy images.