• 제목/요약/키워드: Resolution improvement

검색결과 826건 처리시간 0.023초

SUB-Y-TYPE ANTENNA ARRAY CONFIGURATION FOR HIGH RESOLUTION INTERFEROMETRIC SYNTHETIC APERTURE RADIOMETER

  • Kang, Gum-Sil;Jiang, Jingshan;Kim, Yong-Hoon
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2002년도 Proceedings of International Symposium on Remote Sensing
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    • pp.581-586
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    • 2002
  • The development of 2-D radiometer is a new technical challenge for space borne remote sensing area. The Y-type antenna array has been proposed as a most efficient configuration because a large alias free FOV and a small-synthesized beam-width can be achieved compared to L-, T-type under the fixed antenna spacing. New configuration of antenna array, which is called sub-Y type configuration, is proposed to obtain a higher angular resolution than the case of Y-type array in the paper. The sub-Y type array is consisted of basic arrays, which are the Y-type array of four antenna elements. To analyze characteristics of the proposed configuration, the synthesized beam pattern is simulated through simulation. The secondary effect of the sub-Y-type is that the reconstructed image is suffered from the alias effect is appeared around the real target. The ghost targets in the reconstructed image can be reduced by the alias suppression algorithm introduced in this paper. In conclusion, the performance evaluation by use of array factor simulation shows more than 37.5% improvement in average for angular resolution and almost similar performance for temperature resolution.

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계층적 포인터 네트워크를 이용한 상호참조해결 (Coreference Resolution using Hierarchical Pointer Networks)

  • 박천음;이창기
    • 정보과학회 컴퓨팅의 실제 논문지
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    • 제23권9호
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    • pp.542-549
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    • 2017
  • Sequence-to-sequence 모델과 이와 유사한 포인터 네트워크는 입력이 여러 문장으로 이루어 지거나 입력 문장의 길이가 길어지면 성능이 저하되는 문제가 있다. 이러한 문제를 해결하기 위해 본 논문에서는 여러 문장으로 이루어진 입력열을 단어 레벨과 문장 레벨로 인코딩을 수행하고, 디코딩에서 단어 레벨과 문장 레벨 정보를 모두 이용하는 계층적 포인터 네트워크 모델을 제안하고, 이를 이용하여 모든 멘션(mention)에 대한 상호참조해결을 수행하는 계층적 포인터 네트워크 기반 상호참조해결을 제안한다. 실험 결과, 본 논문에서 제안한 모델이 정확률 87.07%, 재현율 65.39%, CoNLL F1 74.61%의 성능을 보였으며, 기존 규칙기반 모델 대비 24.01%의 성능 향상을 보였다.

ATMOSPHERIC CORRECTION OF LANDSAT SEA SURFACE TEMPERATURE BY USING TERRA MODIS

  • Kim, Jun-Soo;Han, Hyang-Sun;Lee, Hoon-Yol
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume II
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    • pp.864-867
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    • 2006
  • Thermal infrared images of Landsat-5 TM and Landsat-7 ETM+ sensors have been unrivalled sources of high resolution thermal remote sensing (60m for ETM+, 120m for TM) for more than two decades. Atmospheric effect that degrades the accuracy of Sea Surface Temperature (SST) measurement significantly, however, can not be corrected as the sensors have only one thermal channel. Recently, MODIS sensor onboard Terra satellite is equipped with dual-thermal channels (31 and 32) of which the difference of at-satellite brightness temperature can provide atmospheric correction with 1km resolution. In this study we corrected the atmospheric effect of Landsat SST by using MODIS data obtained almost simultaneously. As a case study, we produced the Landsat SST near the eastern and western coast of Korea. Then we have obtained Terra/MODIS image of the same area taken approximately 30 minutes later. Atmospheric correction term was calculated by the difference between the MODIS SST (Level 2) and the SST calculated from a single channel (31 of Level 1B). This term with 1km resolution was used for Landsat SST atmospheric correction. Comparison of in situ SST measurements and the corrected Landsat SSTs has shown a significant improvement in $R^2$ from 0.6229 to 0.7779. It is shown that the combination of the high resolution Landsat SST and the Terra/MODIS atmospheric correction can be a routine data production scheme for the thermal remote sensing of ocean.

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An Improved Multi-resolution image fusion framework using image enhancement technique

  • Jhee, Hojin;Jang, Chulhee;Jin, Sanghun;Hong, Yonghee
    • 한국컴퓨터정보학회논문지
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    • 제22권12호
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    • pp.69-77
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    • 2017
  • This paper represents a novel framework for multi-scale image fusion. Multi-scale Kalman Smoothing (MKS) algorithm with quad-tree structure can provide a powerful multi-resolution image fusion scheme by employing Markov property. In general, such approach provides outstanding image fusion performance in terms of accuracy and efficiency, however, quad-tree based method is often limited to be applied in certain applications due to its stair-like covariance structure, resulting in unrealistic blocky artifacts at the fusion result where finest scale data are void or missed. To mitigate this structural artifact, in this paper, a new scheme of multi-scale fusion framework is proposed. By employing Super Resolution (SR) technique on MKS algorithm, fine resolved measurement is generated and blended through the tree structure such that missed detail information at data missing region in fine scale image is properly inferred and the blocky artifact can be successfully suppressed at fusion result. Simulation results show that the proposed method provides significantly improved fusion results in the senses of both Root Mean Square Error (RMSE) performance and visual improvement over conventional MKS algorithm.

고해상도 영상자료 및 객체지향분류기법을 이용한 식생분류 정확도 향상 방안 연구 (Accuracy Improvement of Vegetation Classification Using High Resolution Imagery and OOC Technique)

  • 홍창희;박종화
    • 환경영향평가
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    • 제18권6호
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    • pp.387-392
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    • 2009
  • As Our society's environmental awareness and concern the significant increases, the importance of the legal system for environmental conservation such as the Prior Environmental Review System, Environmental Impact Assessment is growing increasingly. but, still critical issues are present such as reliability. Though there could be various causes such as the system or procedures etc. Above all, basically the environmental data problem is the critical cause. Therefore, this study was trying to improve the environmental data accuracy using the high-resolution color aerial photography, LiDAR data and Object Oriented Classification method. And in this study, classification based on coverage percentage of a particular species was attempted through the multi-resolution segmentation and multi-level classification method. The classification result was verified by comparison with 11 points local survey data. All 11 points were classified correctly. And even though the exact coverage percentage of the particular species did not be measured, It was confirmed that the species was occupied similar portion. It is important that the environmental data which can be used for the conservation value assessment could be acquired.

2007년 태풍 Manyi와 Usagi 사례에 대한 고해상도 대기모델 해면기압 정확도 비교 분석 (Analysis of Precision for Mean Sea Level Pressure simulated by high resolution Weather Model for Typhoon Manyi and Usagi in 2007)

  • 유승협;권지혜
    • 한국해양환경ㆍ에너지학회지
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    • 제13권3호
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    • pp.127-134
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    • 2010
  • 본 연구는 2007년의 태풍 Manyi와 Usagi 기간 동안에 대기모델에 의해 예측된 한반도 주변의 해면기압의 정확도를 비교하였다. 중규모 지역 모델인 RDAPS, KWRF와 본 연구에서 개발된 9 km, 3 km 수평해상도의 고해상도 WRF 모델 결과가 활용되었다. 모델로 예측된 해면기압은 한반도 주변의 AWS와 해양기상 부이 등 연안지역에 총35개 지점 관측자료와 비교하였다. 비록 4개의 모델이 태풍 기간 동안 해면기압을 잘 모의하였지만 3 km WRF가가장 좋은 예측 결과를 보였으며 지역 모델인 RDAPS와 KWRF와 비교하여 최대 69%와 60% 정확도 향상을 보였다.

FT-ICR 질량분석기의 신호 충실성 향상 (The Improvement in Signal Integrity of FT-ICR MS)

  • 김승용;김석윤;김현식
    • 전기학회논문지
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    • 제60권1호
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    • pp.201-204
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    • 2011
  • For efficient noise reduction in a Fourier transform ion cyclotron resonance (FT-ICR) mass spectrum, a new algorithm was proposed. The suggested algorithm reduces white and electrical noise, and it improves signal-to-noise ratio. This algorithm has been optimized to reduce the noise more efficiently using the traces of signal level. The algorithm has been efficiently combined with derivative window to improve the resolution as well S/N. Time domain data was corrected for DC voltage interference. $t^n$ window was applied in time domain data to improved the resolution. However, $t^n$ window can improve the signal resolution, it will also increase the noise level in frequency domain. Therefore, newly developed noise reduction algorithm will be applied to make a balance between resolving power and S/N ratio for magnitude mode. The trace algorithm can determine the current data point with several data points (mean, past data, calculated past data). In the current calculations, we assumed data points with S/N ratio more than 3 were considered as signal data points. After the windowing and noise reduction, both resolution and signal-to-noise ratio were improved. This algorithm is applicable more efficiently to frequency dependent noise and large size data.

Assessment of New High-resolution Regional Climatology in the East/Japan Sea

  • Lee, Jae-Ho;Chang, You-Soon
    • 한국지구과학회지
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    • 제42권4호
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    • pp.401-411
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    • 2021
  • This study provides comprehensive assessment results for the most recent high-resolution regional climatology in the East/Japan Sea by comparing with the various existing climatologies. This new high-resolution climatology is generated based on the Optimal Interpolation (OI) method with individual profiles from the World Ocean Database and gridded World Ocean Atlas provided by the National Centers for Environmental Information (NCEI). It was generated from the recent previous study which had a primary focus to solve the abnormal horizontal gradient problem appearing in the other high-resolution climatology version of NCEI. This study showed that this new OI field simulates well the meso-scale features including closed-curve temperature spatial distribution associated with eddy formation. Quantitative spatial variability was compared to the other four different climatologies and significant variability at 160 km was presented through a wavelet spectrum analysis. In addition, the general improvement of the new OI field except for warm bias in the coastal area was confirmed from the comparison with serial observation data provided by the National Fisheries Research and Development Institute's Korean Oceanic Data Center.

반복적인 격자 워핑 기법을 이용한 깊이 영상 초해상도 기술 (Iterative Deep Convolutional Grid Warping Network for Joint Depth Upsampling)

  • 양윤모;김동신;오병태
    • 한국방송∙미디어공학회:학술대회논문집
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    • 한국방송∙미디어공학회 2020년도 추계학술대회
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    • pp.205-207
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    • 2020
  • 본 논문에서는 딥러닝 기반의 깊이 영상 초해상도 기술에 대해서 제안한다. 기존 깊이 영상의 초해상도 기술은 고해상도의 컬러 영상과 저해상도 깊이 영상을 이용하여 화소 값을 개선시켜 고해상도의 깊이 영상을 예측하였다. 하지만 이라한 방법들은 단순히 화소 값을 증가 또는 혹은 감소시키는 방법으로 언더슈팅 또는 오버슈팅과 문제를 발생시켜 성능 향상을 제한한다. 제안하는 기법에서는 이러한 한계를 극복하기 위해 화소의 위치를 이동하여 영상을 복원하는 격자 워핑 방식을 반복적으로 적용하여 고해상도 깊이 영상을 예측하였다. 실험 결과, 제안한 방식이 기존 방법들에 비해 정량적, 시각적 품질을 개선시켰음을 확인하였다.

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Development of an Alignment Method for Retarders in isoSTED Microscopy

  • Ilkyu Park;Dong-Ryoung Lee
    • Current Optics and Photonics
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    • 제8권4호
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    • pp.421-426
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    • 2024
  • The use of stimulated emission depletion (STED) microscopy has significantly improved resolution beyond the limits imposed by diffraction; Furthermore, STED microscopy adopts a 4Pi-geometry to achieve an isotropic improvement in resolution. In isoSTED microscopy, a polarizing beam splitter and retarders are used in a 4Pi cavity to split beams of identical power, generating constructive and destructive interference for lateral and axial resolution improvements, respectively. The precise alignment of the retarders is crucial for optimizing the performance of isoSTED microscopy, because this orientation affects the quality of the depletion focus, necessitating zero intensity at the center. Incomplete destructive interference can lead to unwanted fluorescence inhibition, resulting in degraded resolution and contrast. However, measuring the intensity and polarization state in each optical path of the 4Pi cavity is complex and requires additional devices such as a power meter. Here, we propose a simple and accurate alignment method for the 4Pi cavity in isoSTED microscopy. Our approach demonstrates the equal allocation of power between upper and lower beam paths and achieves complete destructive interference using a polarizing beam displacer and a single CCD camera positioned outside the 4Pi cavity.