• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권4호
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• pp.1714-1729
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• 2018

Change detection of remote sensing images is a profound challenge in the field of remote sensing image analysis. This paper proposes a novel change detection method for bitemporal remote sensing images based on feature fusion and fuzzy c-means (FCM). Different from the state-of-the-art methods that mainly utilize a single image feature for difference image construction, the proposed method investigates the fusion of multiple image features for the task. The subsequent problem is regarded as the difference image classification problem, where a modified fuzzy c-means approach is proposed to analyze the difference image. The proposed method has been validated on real bitemporal remote sensing data sets. Experimental results confirmed the effectiveness of the proposed method.

• 대한원격탐사학회지
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• 제28권6호
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• pp.671-682
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• 2012

Strong backscattering features from high-resolution Synthetic Aperture Rader (SAR) image provide useful information to analyze earth surface characteristics such as man-made objects in urban areas. The SAR image has, however, some limitations on description of detail information in urban areas compared to optical images. In this paper, we propose a new classification method using a fused SAR and Electro-Optical (EO) image, which provides more informative classification result than that of a single-sensor SAR image classification. The experimental results showed that the proposed method achieved successful results in combination of the SAR image classification and EO image characteristics.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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• pp.1337-1339
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• 2003

In this article, a new remote sensing image fusion model based on modified Kohonen networks is given. And a new fusion rule based on modified voting rule was established. Select Shaoxing City as the study site, located at Zhejiang Province, P.R.China. The fusion experiment between Landsat TM data (30m) and IRS-C Pan data (5.8m) was performed using the given fusion method. The fusion results show that the new method can gain better result in apply ing to the lower hill area, and the whole classification accuracy was 10% higher than the basic Kohonen method. The confusion between the woodlands and the waterbodies was also diminished.

• 복식문화연구
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• 제15권2호
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• pp.221-231
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• 2007

In the modern society of the 21st century where the visuality is emphasized, the illustration which expresses one symbol by embodying it is getting more spotlight than the use of character. Specifically, the fashion illustration serves the role of image promotion in other fields, for such as book, magazine, etc, as well as the fashion, and is taking root in daily lives. In response to that, this study researched on the fusion style fashion and the fashion illustration by using the violet color. The violet color which symbolizes the mysticism is being applied to society and culture in various forms, and has been considered as a precious color that represents god since ancient time, and still possesses its mysterious image even in the modern times. Moreover, as the appearance of fusion styled clothes which consolidates the latest trend image of the west and east is combined with the mysterious image of the purple to express new cultural image beyond highlighting specific image element of a country, the study on the fashion illustration based on the clothes based on the purple and fusion style would be very interesting. This study tried to produce the work that aims at the practical study based on the purple & fusion style and the theoretical consideration of fashion illustration through the analysis and investigative study of preceding studies. The findings from the study is like this: First, the violet the color, which represents the mysticism, can be confirmed to be an sophisticated, elegant and attractive image color that leads the modern fashion. Second, the fusion style which is coming into the spotlight recently can be found to have a great visual effect of consolidating the image of the west and east through the mixture with the purple color. Third, it was confirmed in our production of works that the fashion illustration was expressing a mysterious and new fusion style by blending appropriately with the purple color.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권4호
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• pp.1441-1456
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• 2015

The bidimensional empirical mode decomposition (BEMD) algorithm with high adaptability is more suitable to process multiple image fusion than traditional image fusion. However, the advantages of this algorithm are limited by the end effects problem, multiscale integration problem and number difference of intrinsic mode functions in multiple images decomposition. This study proposes the multiscale self-coordination BEMD algorithm to solve this problem. This algorithm outside extending the feather information with the support vector machine which has a high degree of generalization, then it also overcomes the BEMD end effects problem with conventional mirror extension methods of data processing,. The coordination of the extreme value point of the source image helps solve the problem of multiscale information fusion. Results show that the proposed method is better than the wavelet and NSCT method in retaining the characteristics of the source image information and the details of the mutation information inherited from the source image and in significantly improving the signal-to-noise ratio.

• 대한공간정보학회지
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• 제14권1호
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• pp.21-27
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• 2006

영상융합의 많은 방법들 중에 IHS 기법은 많은 대용량의 자료를 빨리 융합할 수 있는 장점을 가지고 있다. IKONOS 영상에 대하여 IHS기법은 향상된 공간해상도의 결과를 보여주고 있으나 분광의 왜곡을 포함하고 있다. 즉, 융합된 다중파장대 영상과 원래 다중파장대영상의 비교시 분광정보의 왜곡이 나타난다. 이러한 문제를 해결하기 위해서 본 연구에서는 분광정보 조정을 통하여 빠른 처리 속도를 지니는 IHS기법을 제안하였다. 실험결과 제안된 방법은 고전적인 IHS 융합기법보다 속도와 영상 질의 측면에서 더 나은 결과를 보여주었다.

• Nuclear Engineering and Technology
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• 제55권1호
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• pp.222-228
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• 2023

This study aimed to analyze the applicability of the improved median filter in positron emission tomography (PET)/magnetic resonance (MR) fusion images based on parallel imaging using generalized autocalibrating partially parallel acquisition (GRAPPA). In this study, a PET/MR fusion imaging system based on a 3.0T magnetic field and ¹⁸F radioisotope were used. An improved median filter that can set a mask of the median value more efficiently than before was modeled and applied to the acquired image. As quantitative evaluation parameters of the noise level, the contrast to noise ratio (CNR) and coefficient of variation (COV) were calculated. Additionally, no-reference-based evaluation parameters were used to analyze the overall image quality. We confirmed that the CNR and COV values of the PET/MR fusion images to which the improved median filter was applied improved by approximately 3.32 and 2.19 times on average, respectively, compared to the noisy image. In addition, the no-reference-based evaluation results showed a similar trend for the noise-level results. In conclusion, we demonstrated that it can be supplemented by using an improved median filter, which suggests the problem of image quality degradation of PET/MR fusion images that shortens scan time using GRAPPA.

• 대한지리학회지
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• 제47권2호
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• pp.282-296
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• 2012

본 연구는 해안지역의 지속 가능한 개발과 보존을 위하여 고해상도 위성영상의 활용을 극대화하는데 그 목적이 있다. 이를 위해 다목적 실용위성 2호 영상 자료를 이용하여 빌딩추출에 가장 적합한 영상 융합기법을 제시하고 분석하였으며, 이와 함께 기존에 널리 사용되어오던 화소 기반한 영상분석과 최근 고해상도 위성영상 활용의 증가와 함께 관심을 받고 있는 지리객체 기반한 영상분석을 비교하여 고해상도 영상에 적합한 지리정보추출 기법을 탐색 하였다. 본 연구에서 제안된 분석방법과 평가 방법들은, 향후 발사 예정인 다목적 실용위성 3호와 그 외 고해상도 위성영상을 이용한 해안지역의 지리정보 추출에 효과적으로 사용될 것이다.

• 한국해양공학회지
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• 제34권6호
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• pp.442-453
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• 2020

Underwater color images suffer from low visibility and color cast effects caused by light attenuation by water and floating particles. This study applied single image enhancement techniques to enhance the quality of underwater images and compared their performance with real underwater images taken in Korean waters. Dark channel prior (DCP), gradient transform, image fusion, and generative adversarial networks (GAN), such as cycleGAN and underwater GAN (UGAN), were considered for single image enhancement. Their performance was evaluated in terms of underwater image quality measure, underwater color image quality evaluation, gray-world assumption, and blur metric. The DCP saturated the underwater images to a specific greenish or bluish color tone and reduced the brightness of the background signal. The gradient transform method with two transmission maps were sensitive to the light source and highlighted the region exposed to light. Although image fusion enabled reasonable color correction, the object details were lost due to the last fusion step. CycleGAN corrected overall color tone relatively well but generated artifacts in the background. UGAN showed good visual quality and obtained the highest scores against all figures of merit (FOMs) by compensating for the colors and visibility compared to the other single enhancement methods.

• 대한방사선기술학회지:방사선기술과학
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• 제42권5호
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• pp.365-371
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• 2019

We have developed and applied a diagnostic Multi-Leaf Collimator (MLC) to optimized the X-ray field in medical imaging and the usefulness evaluated through the fusion of infrared image and X-ray image acquired by infrared camera. The hand and skull radiography with multi-leaf collimator(MLC) showed significant area dose reductions of 22.9% and 31.3% compared to ARC and leakage dose was compliant with KS A 4732. Also scattering doses of 50 cm and 100 cm showed a significant decrease to confirm the usefulness of MLC. It was confirmed that the fusion of infrared images with an adjustable degree of transparency was possible in the X-ray images. Therefore, fusion of anatomical information with physiological convergence is expected to contribute and improvement of diagnostic ability. In addition, the feasibility of convergence X-ray imaging and DITI devices and the possibility of driving MLC with infrared images were confirmed.