• KSCE Journal of Civil and Environmental Engineering Research
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• v.28 no.4D
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• pp.569-577
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• 2008

The purpose of this study is focused on the development of compound classification process by mixing multitemporal data and annexing a specific image enhancement technique with a specific image classification algorithm, to gain more accurate land information from satellite imagery. That is, this study suggests the classification process using canonical correlation classification technique after principal component analysis for the mixed multitemporal data. The result of this proposed classification process is compared with the canonical correlation classification result of one date images, multitemporal imagery and a mixed image after principal component analysis for one date images. The satellite images which are used are the Landsat 5 TM images acquired on July 26, 1994 and September 1, 1996. Ground truth data for accuracy assessment is obtained from topographic map and aerial photograph, and all of the study area is used for accuracy assessment. The proposed compound classification process showed superior efficiency to appling canonical correlation classification technique for only one date image in classification accuracy by 8.2%. Especially, it was valid in classifying mixed urban area correctly. Conclusively, to improve the classification accuracy when extracting land cover information using Landsat TM image, appling canonical correlation classification technique after principal component analysis for multitemporal imagery is very useful.

• Korean Journal of Remote Sensing
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• v.18 no.2
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• pp.71-79
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• 2002

This research presents particulate distribution map of tidal flats of Hampyung bay using reflectance which extracted from satellite data and field survey data during same periods. The spectrum of particulate composition obtained from Landsat TM data was analysed and 7 scenes of satellite image were classified with ISODATA and K-MEANS methods. The results of unsupervised classification were estimated with in-situ data. The classification accuracy of ISODATA and K-MAMS methods were 84.3% and 85.7%. For validation of classified results of multi-temporal satellite images, TM image of May 1999(reference data), which was classified with field survey data was compared with classified results of multi-temporary satellite data.

• Journal of the Korean earth science society
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• v.32 no.6
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• pp.560-574
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• 2011

Satellite images that have been obtained periodically and continuously are very effective data to monitor the changes of Earth's surface. Traditionally, the studies on change detection using satellite images have mainly focused on comparison between two results after analyzing two images respectively. However, the interests in researches to catch smooth trends and short duration events from continual multi-temporal images have been increased recently. In this study, we introduce and test an approach based on 3D wavelet transform to analyze the multi-temporal satellite images. 3D wavelet transform can reduce the dimensions of data conserving main trends. Also, it is possible to extract important patterns and to analyze spatial and temporal relations with neighboring pixels using 3D wavelet transform. As a result, 3D wavelet transform is useful to capture the long term trends and short-term events rapidly. In addition, we can expect to get new information through sub-bands of 3D wavelet transform which provide different information by decomposed direction.

• Aerospace Engineering and Technology
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• v.8 no.1
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• pp.132-137
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• 2009

This study has regard to classification by using multi-temporal SAR data. Multi-temporal JERS-1 SAR images are used for extract the land cover information and possibility. So far, land cover information extracted by high resolution aerial photo, satellite images, and field survey. This study developed on multi-temporal land cover status monitoring and coherence information mapping can be processing by L band SAR image. From July, 1997 to October, 1998 JERS SAR images (9 scenes) coherence values are analyzed and then extracted land cover information factors, so on. This technique which forms the basis of what is called SAR Interferometry or InSAR for short has also been employed in spaceborne systems. In such systems the separation of the antennas, called the baseline is obtained by utilizing a single antenna in a repeat pass.

• Journal of the Korean Association of Geographic Information Studies
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• v.6 no.3
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• pp.83-94
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• 2003

All the urban planning process require land use informations, which should be obtained after through intensive investigation and accurate analysis about the past and current situations and conditions of a city. Until now, the generation of land use informations from remotely sensed imagery has had many limitation because of its spatial resolution. It is now expected that the availability of high resolution satellite imagery whose spatial resolution less than 10m will reduce these limitations. For the purpose of urban growth monitoring we must first establish a urban land use classification nomenclature. In this study, we would like to establish a land use nomenclature for land use classification using remotely sensed data, especially using KOMPSAT EOC imagery.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2003.04a
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• pp.537-543
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• 2003

도시의 물리적 성장을 분석하기Hl 원격탐사 자료는 매우 유용한 도구를 제공한다 할 수 있다. 도시의 물리적 성장은 도시의 토지이용과 밀접하게 관련되어 있으며 지속 가능한 도시성장을 위하여서는 토지이용을 중심으로 한 성장관리가 필수적이다. 그러나 위성영상을 이용한 도시 토지이용의 분류는 우선 그 기준이 사용자의 관점에 따라 다르고 영상의 해상도 등에 따라 달리 그 기준이 정해질 수 있다. 도시의 성장 분석을 위해서는 다중시기의 위성영상 및 항공사진을 이용하여 토지이용 분류를 수행하고 시기별 토지이용 변화와 양상을 분석함으로써 성장요인을 추출하고 이를 기반으로 향후의 도시 성장을 예측할 수 있는 성장모델 개발이 가능해 진다. 따라서 본 연구에서는 도시성장 예측모델 개발의 전 단계로써 도시의 성장관리를 위해 사용되는 다양한 공간 해상도를 지닌 원격탐사 자료의 국내외 다양한 분류기준의 검토를 통해 토지이용 분류 기준을 도시 성장관리의 측면에서 설정하고자 한다.

• Journal of the Korean Association of Geographic Information Studies
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• v.13 no.2
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• pp.64-73
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• 2010

This research collected some multi-image information of Nakdong River Estuary Eulsukdo area in last 30 years, which are used as the basis information in running the qualitative analysis of the topography relief's deformation. First, to obtain the data, this research carried out a field survey and GCP measurement, then classified and collected the image information by analog and digital image. The acquired images which have passed a high-precise scan process and geometric correction is manufactured by Ortho Mosaic image, then divided them into 9 sections time period classification before we run a qualitative analysis. In late of 1980's there are many changes of environmental topography deformation of the Eulsukdo area which caused by large scale building constructions, appeared to be known through this research. And then in late of 1990's, we organized the wild cultivated lands, started the wetland restoration of the artificial ecology, in 2000's we are able to know the existence of topograph relief change which caused by big scale of bridge construction. Hereafter, in this quick process of the environmental and topographical change of this area caused by the 4 major rivers restoration project, the analysis results of this experiment are expected to be something applicable as important basic data.

• Journal of the Korean Association of Geographic Information Studies
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• v.18 no.2
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• pp.135-148
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• 2015

This research is carried out for the land cover change detection in the Nakdong River basin before and after the 4 major rivers restoration project using the LiDAR DEM(Digital Elevation Model) and the multi-temporal Landsat imagery. Firstly the river basin polygon is generated by using the levee boundaries extracted from the LiDAR DEM, and the four river basin imagery are generated from the multi-temporal Landsat-5 TM(Thematic Mapper) and Landsat-8 OLI(Operational Land Imager) imagery by using the generated river basin polygon. Then the main land covers such as river, grass and bare soil are separately generated from the generated river basin imagery by using the image classification method, and the ratio of each land cover in the entire area is calculated. The calculated land cover changes show that the areas of grass and bare soil in the entire area have been significantly changed because of the seasonal change, while the area of the river has been significantly increased because of the increase of the water storage. This paper contributes to proposing an efficient methodology for the land cover change detection in the Nakdong River basin using the LiDAR DEM and the multi-temporal satellite imagery taken before and after the 4 major rivers restoration project.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2003.04a
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• pp.568-574
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• 2003

오늘날 급속하게 팽창하는 도시외형과 더불어 도심의 집약적이고 다양한 토지이용 패턴 속에서 계획적인 도시개발을 유도하기 위해서는 도시변화 추세 및 그 상세 정보를 주기적으로 모니터링 할 수 있는 종합적인 도시성장관리시스템이 요구된다 이에 앞서 본 연구에서는 토지이용변화를 바탕으로 한 도시성장 모니터링에 있어서 다중시기 원격탐사자료의 활용성과 그 적용범위를 명확하게 규명함과 동시에 향후 도시성장관리시스템 개발에 필요한 기초 자료를 효과적으로 생성하기 위하여 3단계로 구분하여 연구를 수행하였다. 우선 다중시기 원격탐사자료를 이용한 도시의 외형적 성장을 파악하고, 기존의 토지이용도 및 영상자료를 이용하여 시기별 토지이용도를 생성하고 이를 바탕으로 도시성장과정을 체계적으로 분석하였다. 또한 적용 결과를 통하여 기존자료의 최 신성을 확보하는 한편 막대한 예산을 투자하여 구축된 기존 토지이용자료를 원격탐사자료와 더불어 도시변화/성장 연구에 있어 보다 효과적으로 활용할 수 있는 방안을 제시하였다.

• Proceedings of the KSRS Conference
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• 2008.03a
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• pp.119-124
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• 2008

2000년대 들어 주기적으로 발생하고 있는 봄 가뭄에 대한 적절한 대책 마련을 위해서는 가뭄을 모니터링 할 수 있는 감시체계가 필요하며 가뭄의 심도를 정량적으로 나타내기 위한 지표가 요구된다. 또한, 가뭄의 거동 및 지역적인 심도 분석을 위해서는 면 단위의 공간적인 분석이 요구된다. 위성영상은 공간정보를 신속하고 주기적으로 제공할 수 있는 도구로 위성영상의 밴드 조합을 통해 제작된 식생지수는 1990년대 중반 이후 건조지역을 중심으로 가뭄 모니터링을 위한 도구로 활용 중이다. 본 연구에서는 MODIS 영상으로부터 제작된 정규식생지수(NDVI)를 이용하여 식생상태지수(VCI)와 정규화된 식생지수(SVI)를 제작하였으며 2000년$\sim$2007년을 대상으로 가뭄발생연도, 각 가뭄사상에 대한 심도, 가뭄다발 시기 및 다발지역을 분석하였다.