• Economic and Environmental Geology
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• v.40 no.3 s.184
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• pp.331-338
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• 2007

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.558-560
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• 2003

This paper examines the capability of remote sensing technique for detecting and quantifying the foliar nutrients of oil palm crop. Study has been carried out in the Malaysian Palm Oil Board (MPOB) Research Station in Kluang Johore, Malaysia. Result of the study shows a strong relationship between measured foliar nutrient and the spectral reflectance measured using spectroradiometer. Model that has been developed can be used to estimate the nutrient concentration in the oil palm plantation at micro level and also at macro -level using appropriate satellite data.

• Proceedings of the KSRS Conference
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• 2007.10a
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• pp.637-641
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• 2007

Airborne LIDAR (Light Detection and Ranging) technology has reached a degree of the required accuracy in mapping professions, and advanced LIDAR systems are becoming increasingly common in the various fields of application. LiDAR data constitute an excellent source of information for reconstructing the Earth's surface due to capability of rapid and dense 3D spatial data acquisition with high accuracy. However, organizing the LIDAR data and extracting information from the data are difficult tasks because LIDAR data are composed of randomly distributed point clouds and do not provide sufficient semantic information. The main reason for this difficulty in processing LIDAR data is that the data provide only irregularly spaced point coordinates without topological and relational information among the points. This study introduces an efficient and robust method for automatic extraction of building footprints using airborne LIDAR data. The proposed method separates ground and non-ground data based on the histogram analysis and then rearranges the building boundary points using convex hull algorithm to extract building footprints. The method was implemented to LIDAR data of the heavily built-up area. Experimental results showed the feasibility and efficiency of the proposed method for automatic producing building layers of the large scale digital maps and 3D building reconstruction.

• Proceedings of the KSRS Conference
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• 2007.10a
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• pp.430-433
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• 2007

Spatial information has recently been recognized as one of the major subjects of interest in information technology. With increasing variety and quantity of spatial data on the web, searching and maintaining these data are becoming a much focussed area of research. Interoperability is the key technology in solving the complexities of spatial data in web services. The problem of maintenance and searching of spatial data in an interoperable web service environment can be solved by establishing standardized metadata of spatial information. Then using the standardized metadata, catalog web services can be deployed for autonomous searching and binding of spatial data. This study investigates the international standard for spatial data metadata(ISO/TC211 19115) and deployed catalog web service based on this metadata. Various heterogeneous spatial data of Seoul Metropolitan region were then used for experimental implementation of catalog web service.

• Korean Journal of Remote Sensing
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• v.34 no.1
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• pp.117-126
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• 2018

This study aims to evaluate the usability of polarimetric SAR measurements for discriminating water-covered area from other land cover types and to propose polarimetric parameters showing the better response to the flood. Flood-related changes in the polarimetric parameters were studied using the L-band PALSAR-2 quad-pol mode data acquired before and after the severe flood events occurred in Joso city, Japan. The experimental results showed that, among various polarimetric parameters, the HH-polarization intensity, the Shannon entropy, and the surfaces scattering component of model-based decomposition were found to be useful to discriminate water-covered areas from other land cover types. Particularly, an unsupervised change detection with the Shannon entropy provides the best result for an automated mapping of flood extents.

• 한국지구물리탐사학회:학술대회논문집
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• 2007.06a
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• pp.101-106
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• 2007

A time-lapse microgravity survey on a newly widen road at Muan, where limestone cavities are developed, for monitoring the change of the subsurface density distribution before and after grouting. Microgravity monitoring is identified as a quick, easy and cost effective. But, it requires strict data acquisition and quality control due to the differences of conditions at measurements. The survey was carried out two times, that is, October 2005 and September 2006. The data were adjusted for reducing the effects due to the different condition of each survey. The processed data acquired in 2005 and 2006 were inverted into the subsurface density distributions. They show the change and development of density structure during the lapsed time, which implies the effects of grouting.

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.1467-1469
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• 2003

Image matching is fundamental process to identify conjugate points on the stereo images. However, standard methods or general solutions for matching problem have not been found yet, in spite of long history. Quality of the matching basically depends on uniqueness of the matching entity and robustness of the algorithm. In this study, conjugate points were extracted by implementing interest operator, then area based matching method was applied to the topographical characteristics of the gray value as the matching entities. The matching entities were utilized based on the concept of the intrinsic image.

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.1464-1466
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• 2003

classification of the satellite images provides information about land cover and/or land use. Quality of the classification result depends mainly on the spatial and spectral resolutions of the images. In this study, image fusion in terms of resolution merging, and band integration with multi-source of the satellite images; Landsat ETM+ and Ikonos were carried out to improve classification. Resolution merging and band integration could generate imagery of high resolution with more spectral bands. Precise image co-registration is required to remove geometric distortion between different sources of images. Combination of unsupervised and supervised classification of the fused imagery was implemented to improve classification. 3D display of the results was possible by combining DEM with the classification result so that interpretability could be improved.

• Proceedings of the KSRS Conference
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• 2004.10a
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• pp.21-21
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• 2004

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.969-969
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• 2003