• Title/Summary/Keyword: Airborne radar

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Forward Looking DPCA using Two Passive Antennas with Vertical Separation

  • Kim Man-Jo;Kho Bo-Yeon;Yoon Sang-Ho
    • Proceedings of the KSRS Conference
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    • 2005.10a
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    • pp.474-477
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    • 2005
  • In tactical theater, it is crucial to detect ground moving targets and to locate them precisely. This problem can be resolved by using SAR (Synthetic Aperture Radar) sensors providing GMTI (Ground Moving Target Indication) capability. In general, to implement a robust GMTI sensor is not simple because of the strong competitions between target signals and clutter signals on the ground, and low speed of moving targets. Contrary to the case that a delay canceller is mostly suitable for ground surveillance radars, DPCA (Displaced Phase Centered Antenna) or STAP (Space Time Adaptive Processing) techniques have been adapted for GMT! function of modem airborne radars. In this paper, anew scheme of DPCA using two passive antennas with vertical separation is proposed, which also provides good clutter cancellation performance. The proposed scheme enables us to scan straight ahead of the carrying platform that is impossible with typical DPCA configuration. Simulations using various conditions have been performed to validate the proposed scheme, and the results are acceptable.

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Study on the Forest Observation in Kushiro Wetland by using Dual-Frequency and Fully Polarimetric Airborne SAR (Pi-SAR) Data

  • Nakamura Kazuki;Wakabayashi Hiroyuki;Shinsho Hisashi;Maeno Hideo;Uratsuka Seiho;Nadai Akitsugu;Umehara Toshihiko;Moriyama Toshifumi
    • Proceedings of the KSRS Conference
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    • 2004.10a
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    • pp.405-409
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    • 2004
  • We chose the Kushiro wetland in Hokkaido, Japan, as a test site to monitor wetland areas. Synthetic aperture radar (SAR) can carry out continuous observation in any weather conditions, and can therefore be used to observe high humidity areas such as wetlands. We applied multi-parameter SAR data (dual-frequency, multi-polarization, and multi-incidence angle) to monitoring the wetland forest. To find the optimum incidence angle and polarization for monitoring the wetland biomass, a simple backscattering model of wetland vegetation was developed and applied to estimate backscattering coefficients for different biomass and surface conditions.

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Extension of Range Migration Algorithm for Airborne Single Track Bistatic Spotlight SAR Imaging (하나의 경로를 가진 항공기 탑재형 Bistatic Spotlight SAR 영상형성을 위한 Range Migration Algorithm의 확장)

  • Shin, Hee-Sub;Jeon, Jae-Han;Lim, Jong-Tae
    • Proceedings of the IEEK Conference
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    • 2008.06a
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    • pp.165-166
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    • 2008
  • Bistatic spotlight synthetic aperture radar(BSSAR) with single track configuration uses the transmitter and the receiver which travel along the single track such as the leader-follower. For the BSSAR imaging, we modify the range migration algorithm. In time domain, we make the monostatic SAR using shifting of path, Then, in frequency domain, we compensate the separated distance between the scene center and the flight path using the principle of the stationary phase (PSP).

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Real-Time Selection of Pulse Repetition Frequency (PRF) Set for a Triple 2-of-3 PRF Scheme

  • Kim, Tae-Hyung;Yi, Jae-Woong;Byun, Young-Jin
    • Journal of electromagnetic engineering and science
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    • v.13 no.3
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    • pp.186-188
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    • 2013
  • A triple 2-of-3 pulse repetition frequency (PRF) scheme is presented for medium PRF pulsed-Doppler airborne radars, and a real-time method is developed that searches for optimal or sub-optimal PRF sets according to momentary battle situations. The effectiveness of the real-time search method of PRF sets is demonstrated by the experimental results obtained using simulated data.

Potential Use of Airborne Synthetic Aperture Radar to Monitor Agricultural Land Uses: A Case Study in Thailand

  • Wanpiyarat, V.;Buapradubkul, D.;Chutirattanaphan, S.
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.44-46
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    • 2003
  • In 1996, Thailand's participation in the Pacific Rim as a part of NASA's Mission to Planet Earth (MTPE) Program, was titled 'AIRSAR Thailand Project'. In this project the Department of Land Development utilized Topographic SAR (TOPSAR) which had multi-frequencies: C band, L band, and P band with multi-polarization: HH, VV, and HV as well as C band VV DEM. Satellite data such as LANDSAT TM was also utilized for optimal use. Results of AIRSAR image processing including data fusion among difference wavelength bands and polarization revealed the quality of AIRSAR that best suit for detection of agricultural land uses. The HH-L band AIRSAR was proven to be useful to distinguish among crop types when combined with appropriate data. The HH, VV, and HV-P band enhanced surface characteristics of swamp forest and wetland. In addition, TOPSAR has its great advantage for identification of salt farms and shrimp ponds.

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Development of an Electromagnetic Analysis Methodology for the Aspheric Ogival Radome (원뿔형 비구면 레이돔에 대한 전자파 해석 기법 개발)

  • Seo, Seung-Hee;Cho, Ji-Hyun
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.20 no.7
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    • pp.617-624
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    • 2009
  • In this paper, an electromagnetic analysis methodology using reaction theorem based on reciprocity theorem is presented for the aspheric ogival radome applied to a missile and/or airborne radar. The presented analysis methodology is verified using actual measured data. The type of antenna assumed to develope the methodology is a waveguide slot array antenna, and has the structure of 2 axes monopulse of "X" type. The shape of radome is assumed as Von Karman and the ratio of length to base diameter(L/D) is assumed to be 2:1. The electrical characteristics of the radome are measured using radome measurement system and the results are compared to the values estimated using the presented analysis methodology. It is found that the comparison shows good agreement. It is expected that the presented methodology can be applied for the development of missile and airborne radome.

A Study on the Application of IHS Transformation Technique for the Enhancement of Remotely Sensed Data Classification (리모트센싱 데이터의 분류향상을 위한 IHS 변환기법 적용)

  • Yeon, Sangho
    • Journal of the Korean Association of Geographic Information Studies
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    • v.1 no.1
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    • pp.109-117
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    • 1998
  • To obtain new information using a single remotely sensed image data is limited to extract various information. Recent trends in the remote sensing show that many researchers integrate and analyze many different forms of remotely sensed data, such as optical and radar satellite images, aerial photograph, airborne multispectral scanner data and land spectral scanners. Korean researchers have not been using such a combined dataset yet. This study intended to apply the technique of integration between optical data and radar data(SAR) and to examine the output that had been obtained through the technique of supervised classification using the result of integration. As a result, we found of better enhanced image classification results by using IHS conversion than by using RGB mixed and interband correlation.

A Study on Clutter Cancellation in a Weather Radar System Using a Phased Array Antenna (위상배열 안테나를 활용한 기상 레이다 시스템에서의 클러터 제거에 관한 연구)

  • Lee, Jong-Gil
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.12 no.7
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    • pp.1173-1179
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    • 2008
  • Since there are very strong clutter returns in airborne and ground weather radars used for the detection of low altitude weather hazards, the reliable weather data cannot be extracted from the weak Doppler weather signal without cancellation of these strong clutter returns. However, the clutter cancellation in Doppler frequency domain is not an easy task since even the fixed clutter returns not to mention the moving clutter can have Doppler shifts due to the antenna rotation and operational environment. Therefore, it was shown in this paper a simple array antenna system can be used for the efficient clutter cancellation in the spatial domain. The weather signal, various moving and fixed clutters were modelled and simulated to prove the performance of this adaptive array system. Also, the degree of accuracy in pulse-pair estimates of a weather radar was compared and analyzed from the simulated weather data.

Development of Airborne Remote Sensing System for Monitoring Marine Meteorology (Sea Surface Wind and Temperature) (연안 해양기상(해상풍, 수온) 관측을 위한 항공기 원격탐사 시스템)

  • Kim, Duk-Jin;Cho, Yang-Ki;Kang, Ki-Mook;Kim, Jin-Woo;Kim, Seung-Hee
    • The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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    • v.18 no.1
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    • pp.32-39
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    • 2013
  • Although space-borne satellites are useful in obtaining information all around the world, they cannot observe at a suitable time and place. In order to overcome these limitations, an airborne remote sensing system was developed in this study. It is composed of a SAR sensor and a thermal infrared sensor. Additionally GPS, IMU, and thermometer/hygrometer were attached to the plane for radiometric and geometric calibration. The brightness of SAR image varies depending on surface roughness, and capillary waves on the sea surface, which are easily generated by sea winds, induce the surface roughness. Thus, sea surface wind can be estimated using the relationship between quantified SAR backscattering coefficient and the sea surface wind. On the other hand, thermal infrared sensor is sensitive to measure object's temperature. Sea surface temperature is obtained from the thermal infrared sensor after correcting the atmospheric effects which are located between sea surface and the sensor. Using these two remote sensing sensors mounted on airplane, four test flights were carried out along the west coast of Korea. The obtained SAR and thermal infrared images have shown that these images were useful enough to monitor coastal environment and estimate marine meteorology data.

Analysis of Ship Classification Performances Using OpenSARShip DB (OpenSARShip DB를 이용한 선박식별 성능 분석)

  • Lee, Seung-Jae;Chae, Tae-Byeong;Kim, Kyung-Tae
    • Korean Journal of Remote Sensing
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    • v.34 no.5
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    • pp.801-810
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    • 2018
  • Ship monitoring using satellite synthetic aperture radar (SAR) images consists of ship detection, ship discrimination, and ship classification. A large number of methods have been proposed to improve the detection and discrimination capabilities, while only a few studies exist for ship classification. Thus, many studies for the ship classification are needed to construct ship monitoring system having high performance. Note that constructing database (DB), which contains both SAR images and labels of various ships, is important for research on the ship classification. In the airborne SAR classification, many methods have been developed using moving and stationary target acquisition and recognition (MSTAR) DB. However, there has been no publicly available DB for research on the ship classification using satellite SAR images. Recently, Shanghai Key Laboratory has constructed OpenSARShip DB using both SAR images of various ships generated from Sentinel-1 satellite of European Space Agency (ESA) and automatic identification system (AIS) information. Thus, the applicability of OpenSARShip DB for ship classification should be investigated by using the concepts of airborne SAR classification which have shown high performances. In this study, ship classification using satellite SAR images are conducted by applying the concepts of airborne SAR classification to OpenSARShip DB, and then the applicability of OpenSARShip DB is investigated by analyzing the classification performances.