• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.29 no.5
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• pp.471-478
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• 2011

High resolution Pan-sharpening technique is becoming increasingly important in the field of remote sensing image analysis as an essential image processing to improve the spatial resolution of original multispectral image. The general scheme of pan-sharpening technique consists of upsampling process of multispectral image and high-pass detail injection process using the panchromatic image. The upsampling process, however, brings about image blurring, and this lead to spectral distortion in the pan-sharpening process. In order to solve this problem, this paper presents a new method that adopts image restoration techniques based on optimization theory in the pan-sharpening process, and evaluates its efficiency and application possibility. In order to evaluate the effect of image restoration techniques on the pansharpening process, the result obtained using the existing method that used bicubic interpolation were compared visually and quantitatively with the results obtained using image restoration techniques. The quantitative comparison was done using some spectral distortion measures for use to evaluate the quality of pan-sharpened image.

• Journal of Satellite, Information and Communications
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• v.12 no.1
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• pp.6-12
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• 2017

Recently, the demand for SAR imaging is growing to monitor natural disasters or military sites to foresee topographic changes, where optical sensing is not easily available. High-resolution SAR images are useful in exploring topography and monitoring artificial land objects in all weather conditions. In this paper,high resolution SAR images acquired from KOMPSAT-5 are exploited for the applications of change detection and classification. In order to detect change areas, amplitude change detection (ACD) and coherence change detection (CCD) algorithms are employed and their performances are compared in practical applications. For enhanced performance, the potential of small scaled change detection is explored by combining multi-temporary SAR images. The k-means and SVM methods are applied for land classifications and their performances are compared by applying to the real spaceborne SAR images.

• The Korean Journal of Applied Statistics
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• v.24 no.4
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• pp.695-708
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• 2011

Image fusion is the process of combining multiple images of the same scene into a single fused image with application to many fields, such as remote sensing, computer vision, robotics, medical imaging and military affairs. The widely used image fusion rules that use wavelet transform have been based on a simple comparison with the activity measures of local windows such as mean and standard deviation. In this case, information features from the original images are excluded in the fusion image and distorted fusion images are obtained for noisy images. In this paper, we propose the use of a nonparametric squared ranks test on the quality of variance for two samples in order to overcome the influence of the noise and guarantee the homogeneity of the fused image. We evaluate the method both quantitatively and qualitatively for image fusion as well as compare it to some existing fusion methods. Experimental results indicate that the proposed method is effective and provides satisfactory fusion results.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2012.10a
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• pp.405-406
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• 2012

A sensor network is composed of a large number of sensor nodes which have sensing, computation and wireless communication capabilities. The sensor node sends such collected data, usually via radio transmitter, to a command center (sink) either directly or through a data concentration center (a gateway). These sensor networks can be used for various application areas such as health, military, home network, managing inventory, monitoring disaster areas and so on. Moreover, owing to the rapid growth of mobile technology, high-performance smartphones are widespread and in increasing cases are utilized as a terminal device. In this paper, we propose a home management system using smartphone and sensor networks.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2006.11a
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• pp.523-528
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• 2006

The management of construction materials is one of the important administration factor to perform construction projects. If it is not flexible to supply necessary materials to a workplace at a proper time, some problems such as a construction cost increase, an operation delay, a lowering of work efficiency and etc. could occur during the progress of work. Therefore, tracking the precise location of materials is important and necessary to input materials in the accurate place. Although Location sensing techniques comprise GPS, Active Badge, EasyLing and so forth, there are technical limitations to apply these techniques on construction site. Accordingly, in this paper, we propose the technically feasible method to automatically locate materials on site using recent RFID and wireless network technologies.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.19 no.8
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• pp.1453-1463
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• 1994

Recently many robot manipulators are used for various areas of industriesand factories. It has been frequently observed that the robot manipulator fails to complete the function when the object changes its original position, Due to the unexpected impacts and vibrations the center and direction of the object would be shifted in many real application. In this study, a visual sensing algorithm for the robot manipulator is proposed. The algorithm consists of two parts : Detection of the object migration and adjustments of the orobot manipulators Tool Coordinate System. The image filtering technique with visual sensor is applied for the first part of the algorithm. The change of illumination intensity indicates the object migration. Once the object migration is detected, the second part of the algorithm calculates the current position of the object. Then it adjusts the robot manipulators Tool Coordinate System. The robot manipulator and the Visual sensor communicate each other using interrupt technique via proposed algorithm. It has been observed that the proposed algorithm reduces the malfunction of a robot manipulator significantly. Thus it can provide better line balance-up of the manufacturing processes and prevent industrial accidents efficiently.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.12 no.3
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• pp.195-205
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• 1992

EIA(Environmental Impact Assessment) was introduced in 1979 by our gorvernment to cope with serious environmental problems. Recently environmental pollution has been controlled severely than ever because pollution phenomena became more comlpicated and arrcordingly the damage more terrible. For the EIA system to achieve its goal effectively, systematic and scientific approach should be found out. For this reason the techniqes such as GIS(Geographic Information System) and RS(Remote Sensing) come to front strongly. The purpose of this paper is to investigate the application techniqes of GIS and RS to the EIA system. Haw-Won Myen, Hae-Nam Gun, Chun-Nam and its related area, which will be developed to be a sightseeing area, were selected as the study area. Applications of GIS resulted some important outcome such as earthwork calculations, landuse models, aspect maps, stability of slanting surfaces, elevation models, estimation of real estates, etc. GIS applied EIA proved to be very useful for the project managers and planners to plan, evaluate, judge the enviormental problems.

• Textile Coloration and Finishing
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• v.25 no.4
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• pp.254-261
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• 2013

In this study, we synthesized a new fluorescent polypyridyl dye 2 containing a 2,2'-bipyridine in the center and two 2,2':6',2"-terpyridines at both ends. When exposed to various metal ions, the dye 2 showed selective fluorescence responses. In the presence of $Cu^{2+}$ and $Ni^{2+}$, it exhibited a highly effective fluorescence quenching, leading to large $K_{sv}$ values of up to $10^5$. In response to most other metal ions including $Al^{3+}$, in contrast, its fluorescence changes little, showing a small Ksv value at $10^2$. Meanwhile, the compound 2 revealed a differentiated fluorescence response to $Zn^{2+}$, which is evidenced by a large red shift of > 100 nm. Such a red shift from the ion binding is attributed to the planarization of the bipyridyl unit extending the effective conjugation length in conjunction. A polypyridyl compound will find important usefulness in chemosensor application due to its selective binding to metal ions. Subsequent research concerned with modified derivatives is currently going on, as a way to provide high solubility even after metal-complexing.

• Journal of Korean Society for Geospatial Information Science
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• v.11 no.2 s.25
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• pp.47-52
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• 2003

Change detection and analysis is a powerful application of remote sensing, in that the spectral resolution of multi-band sensors can be used to advantage in monitoring both significant and subtle land cover changes over time. In this study, the LANDSAT TM data was used to detect the change areas affected by flood from a heavy rainfall. The study area is the Nakdong River located in the Korea peninsular. Among the several change detection techniques, change vector analysis(CVA), principle component analysis(PCA) and image difference approach are utilized in this paper. CVA uses any number of spectral bands from multi-date satellite data to produce change image that yield information of the magnitude and direction of differences pixel values. And accuracy assessment was carried out with a change image produced from three techniques. In result, CVA was found to be the most accurate for detecting areas affected by flood. CVA with the overall accuracy and Kappa coefficient of 97.27 percent and 94.45 percent, respectively.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 1995.12a
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• pp.22-32
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• 1995

The purpose of this study is to estimate not only the watershed soil loss but also its temporal changes of Kyungan River basin, the study area, due to the land development. To analyze the soil loss of the river basin, USLE was employed. GIS and remote sensing were also utilized to estimate the soil loss. The data for this analysis consist of a series of thematic map and remotely sensed data. The remotely sensed images for this study are Landsat TM(Oct, 28, 1997 & Sep. 22, 1992), In Kyungan River basin, not only the detection of temporal changes of land use and GVI, but also the estimation of soil loss provided very significant factors that affect to the watershed environment quality. The management of the factors of vegetative cover, slope steepness and length were the keys to reduce soil loss and solve conservation and protection issues of Kyungan River basin. GIS application with USLE to the watershed analysis allows the planner to recognize sensitive sites and to plan strategies to minimize soil loss.