• Journal of the Institute of Electronics and Information Engineers
• /
• v.54 no.3
• /
• pp.108-118
• /
• 2017

This paper presents experimental results of realtime sonar-based SLAM (simultaneous localization and mapping) using probability-based landmark-recognition. The sonar-based SLAM is used for navigation of underwater robot. Inertial sensor as IMU (Inertial Measurement Unit) and DVL (Doppler Velocity Log) and external information from sonar image processing are fused by Extended Kalman Filter (EKF) technique to get the navigation information. The vehicle location is estimated by inertial sensor data, and it is corrected by sonar data which provides relative position between the vehicle and the landmark on the bottom of the basin. For the verification of the proposed method, the experiments were performed in a basin environment using an underwater robot, yShark.

• The Journal of the Acoustical Society of Korea
• /
• v.39 no.4
• /
• pp.246-254
• /
• 2020

In this paper, we propose a learning based compressive sensing algorithm for the purpose of side scan sonar image denoising. The proposed method is based on Iterative Shrinkage and Thresholding Algorithm (ISTA) framework and incorporates a powerful strategy that reinforces the non-linearity of deep learning network for improved performance. The proposed method consists of three essential modules. The first module consists of a non-linear transform for input and initialization while the second module contains the ISTA block that maps the input features to sparse space and performs inverse transform. The third module is to transform from non-linear feature space to pixel space. Superiority in noise removal and memory efficiency of the proposed method is verified through various experiments.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2023.05a
• /
• pp.409-409
• /
• 2023

하천 수위는 합리적인 수자원의 이용 및 관리를 위해 반드시 필요한 수문 자료이다. 우리나라에서는 수위 측정을 위해 유역 내에 관측소를 설치하여 장비 또는 인력을 통해 수위를 측정하고 있다. 하지만, 많은 관측소를 운영하고 관리하기에는 예산과 인력이 소모되는 한계가 있다. 위성 영상을 통한 시계열 분석은 전지구적 모니터링과 관측 분야에 중요한 역할을 수행할 것으로 기대되고 있으며, 특히 위성 영상자료를 활용한 수자원 분야 연구가 활발히 진행되고 있다. 위성 영상을 활용하여 수면적을 감지하고 수위와 유량을 판별하는 많은 연구가 진행되었지만, 하천 하상의 경사와 단면 형태에 따라 수면적이 변하여 정량적인 수위 추정에는 한계가 존재한다. 본 연구에서는 Sentinel-1의 SAR 영상과 InSAR 기법을 통해 낙동강 유역의 홍수 전후의 하천 수위 변화를 분석하였다. Sentinel-1 IW 모드의 Single Look Complex(SLC) 영상 12장과 ESA 영상 처리 툴인 SNAP을 활용하여 VV(Vertical-Vertical) 데이터의 간섭을 통해 센티미터(cm) 단위지표 변화에 따른 수위 변위를 분석하였다. 위성 영상을 통해 추출한 수위 변위와 계측 수위 및 단면 자료의 정합성을 비교한 결과, 제방과 수체 경계면 식생과 하상 세굴로 인한 오차로 정량적이 수위의 정합성에는 한계가 존재하였지만, 수위의 정량적인 변동성을 확인할 수 있었으며, 수위 변화의 반응속도를 판별할 수 있었다.

• Journal of Broadcast Engineering
• /
• v.8 no.1
• /
• pp.19-29
• /
• 2003

The demand for high-resolution images is gradually increasing, whereas many imaging systems yield aliased and undersampled images during image acquisition. In this paper, we propose a high-resolution image reconstruction algorithm considering inaccurate subpixel registration. A regularized Iterative reconstruction algorithm is adopted to overcome the ill-posedness problem resulting from inaccurate subpixel registration. In particular, we use multichannel image reconstruction algorithms suitable for application with multiframe environments. Since the registration error in each low-resolution has a different pattern, the regularization parameters are determined adaptively for each channel. We propose a methods for estimating the regularization parameter automatically. The preposed algorithm are robust against the registration error noise. and they do not require any prior information about the original image or the registration error process. Experimental results indicate that the proposed algorithms outperform conventional approaches in terms of both objective measurements and visual evaluation.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.37 no.6A
• /
• pp.464-472
• /
• 2012

In this paper, we propose a new super-resolution algorithm that uses successive frames by applying the block matching motion estimation algorithm. Usually, single frame super-resolution algorithms are based on probability or discrete wavelet transform (DWT) approach to extract high-frequency components of the input image, but only limited information is available for these algorithms. To solve this problem, various multiple-frame based super-resolution algorithms are proposed. The accuracy of registration between frames is a very important factor for the good performance of an algorithm. We therefore propose an algorithm using 6-Tap FIR filter to increase the accuracy of the image registration with sub-pixel unit. Proposed algorithm shows better performance than other conventional interpolation based algorithms such as nearest neighborhood, bi-linear and bi-cubic methods and results in about the same image quality as DWT based super-resolution algorithm.

• Proceedings of the Korean Society of Marine Engineers Conference
• /
• 2006.06a
• /
• pp.199-200
• /
• 2006

This paper describes how to generate stereoscopic sonar images by using multibeam data. Both parallel and crossing methods were used to create stereoscopic vision of the seafloor. Stereoscopic sonar images might provide reality and more detailed information of the target and the seafloor topography.

• Proceedings of the Korea Multimedia Society Conference
• /
• 2003.11a
• /
• pp.375-378
• /
• 2003

본 논문에서는 공간적 정보로 이미지검색을 하는 모양 특징정보 기반 이미지 검색 시스템에서 검색효율을 향상 시킬 수 있는 이진 영상 변환 및 유사도 검색에 대한 기법을 제안하였다. 모양특징정보의 좀더 정확한 값의 추출을 위해 이미지의 잡음이 윤곽선으로 인식되는 값이 최소화 될 수 있도록 하는 이진 영상 변환방법을 제안하였으며, 유사도 검색에서는 영역별 특징정보 간의 비교와 병행하여 영역을 다시 소그룹화한 다음 소그룹간의 평균 유사도 값의 비교방법을 적용하였다. 성능 평가를 통하여 제안된 이진 영상 변환 겐 유사도 검색 방법을 사용한 경우 기존의 방법보다 향상된 검색 효율성을 보임을 알 수 있었다.

• Journal of the Institute of Electronics and Information Engineers
• /
• v.50 no.3
• /
• pp.113-121
• /
• 2013

In this paper, we propose a sub-pixel rendering algorithm using learning-based 2D FIR filters. The proposed algorithm consists of two stages: the learning and synthesis stages. At the learning stage, we produce the low-resolution synthesis information derived from a sufficient number of high/low resolution block pairs, and store the synthesis information into a so-called dictionary. At the synthesis stage, the best candidate block corresponding to each input high-resolution block is found in the dictionary. Next, we can finally obtain the low-resolution image by synthesizing the low-resolution block using the selected 2D FIR filter on a sub-pixel basis. On the other hand, we additionally enhance the sharpness of the output image by using pre-emphasis considering RGB stripe pattern of display. The simulation results show that the proposed algorithm can provide significantly sharper results than conventional down-sampling methods, without blur effects and aliasing.

• Journal of the Korea Convergence Society
• /
• v.12 no.8
• /
• pp.123-129
• /
• 2021

MZ Generation has multipersona and characteristics that create various egos depending on the situation, and fashion styling is also expressed differently by each persona. Thus, this study investigates how to provide a multipersona or characteristic user experience to fashion shopping applications. Traditional fashion shopping apps, which focus on items, colors, and advertisements, have difficulty solving the problems of MZ generation fashion, so it is necessary to actively utilize their characteristics. We investigate the definitions and characteristics of multipersona and generation MZ, and identify the shopping behavior of generation MZ through prior research. We also analyze cases and improvements that indirectly utilize multipersona in fashion shopping apps. Four UX elements were derived through user interviews to identify needs and It was possible to derive positive effects, such as providing a shopping experience by forming one's own fashion characters in a personalized fashion beyond the existing fashion recommendation frame, which helps to worry about styling and gives a different experience.

• Geophysics and Geophysical Exploration
• /
• v.12 no.2
• /
• pp.192-198
• /
• 2009

Side scan sonar and SBP (sub-bottom profiler) play a very important role in the survey for seafloor imaging and sub-bottom profiling. In this study, we have acquired side scan sonar and SBP data from the artificial reef area. We applied digital image processing techniques to side scan sonar data in order to improve an image quality. For the enhancement of data quality and image resolution, we applied the typical seismic data processing sequence including gain recovery, muting, spectrum analysis, predictive deconvolution, migration to SBP data. We could easily estimate if artificial reef structures were settled properly and their distribution on the seafloor from the integrated interpretation of side scan sonar and SBP data. From the sampling analysis of seabed sediments, texture filtering of side scan sonar data and SBP data interpretation, we could evaluate the sediment type, distribution and thickness of seafloor sediments in detail.