• Journal of the Korean Society of Environmental Restoration Technology
• /
• v.10 no.6
• /
• pp.81-87
• /
• 2007

1960년대 이후 빠른 도시화는 도시 자연환경, 그중에서도 도시 하천을 많이 변화 또는 훼손시켰다. 한강은 서울의 중심을 흐르는 강으로서 60년대 이후 도시화로 인해 유로변경, 천변백사장 망실 등 자연경관이 급격히 변화하였다. 오늘날 하천은 도시의 생태통로로서 뿐만 아니라 천변 녹지 및 오픈스페이스로서 그 가치의 중요성을 인정받고 있다. 따라서 변화된 하천자연경관은 환경복원의 주요 대상이며 이를 위해서는 훼손되기 전 하천경관의 원형파악이 필수적이다. 경관의 원형파악을 위해서는 촬영당시의 지형, 지물의 구체적인 정보들을 보유하고 있는 항공사진과 고해상도 위성영상 등의 원격탐사 자료를 이용, 대상지의 지형, 지질, 식생, 토괴 등을 판독하여 자연경관의 변화를 파악하는 것이 효과적이다. 최근에는 항공사진 외에도 IKONOS 위성 영상과 같은 고해상도영상을 판독한 후 이를 수치사진측량기법을 이용하여 경관변화의 계량적 파악을 시도하고 있다. 본 연구에서는 한강을 대상으로 1966년부터 2002년까지의 변화를 상기 방법을 이용하여 하천 자연경관변화를 파악하였다. 판독결과 대부분의 하천 변화는 모래사장과 곡류하천이 소멸돼 다른 용도로 전환된 것으로 나타났으며 모래사장은 하천 직강화로 인해 하천으로 변했으며 하천은 단지 및 택지개발에 따른 천변도로 개설로 인해 소멸된 것이 가장 큰 원인으로 각각 나타났다.

• Korean Journal of Remote Sensing
• /
• v.37 no.6_1
• /
• pp.1507-1515
• /
• 2021

If chlorophyll-a is estimated through ocean color remote sensing, it is able to understand the global distribution of phytoplankton and primary production. However, there are missing data in the ocean color observed from the satellites due to the clouds or weather conditions. In thisstudy, the missing data of the GOCI (Geostationary Ocean Color Imager) chlorophyll-a product wasreconstructed by using DINEOF (Data INterpolation Empirical Orthogonal Functions). DINEOF reconstructs the missing data based on spatio-temporal data, and the accuracy was cross-verified by removing a part of the GOCI chlorophyll-a image and comparing it with the reconstructed image. In the study area, the optimal EOF (Empirical Orthogonal Functions) mode for DINEOF wasin 10-13. The temporal and spatialreconstructed data reflected the increasing chlorophyll-a concentration in the afternoon, and the noise of outliers was filtered. Therefore, it is expected that DINEOF is useful to reconstruct the missing images, also it is considered that it is able to use as basic data for monitoring the ocean environment.

• Journal of the Korean Association of Geographic Information Studies
• /
• v.7 no.1
• /
• pp.1-8
• /
• 2004

It's a very meaningful experimental study to image restoration of ancient villages vanished at the real life spatial world. Focused on Cheung-Pyung Lake around where most part were flooded by the Chung-Ju large dam founded in early 1980s, we used remote sensing technique in this study in order to restore topographical features before the flood with 3 dimensional effects. It was gathered comparatively good satellite photos and remotely sensed digital images, then its made a new color image from these and the topographical map which had been made before filled water. This task was putting together two kinds of different timed images. And then, we generated DEM(digital elevation model) including the outskirts of that area as harmonizing current contour lines with the map. That could be a perfect 3D image of Cheung-Pyung around before when it had been flood by making perspective images from all directions, north, south, east and west, for showing there in three dimensions. Also, flying simulation we made for close visiting can bring us to experience their real space at that time.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
• /
• v.22 no.1
• /
• pp.21-27
• /
• 2004

It will be a real good news fer the people who were lost their hometown by the construction of a large dam to be restored to the farmer state. Focused on Cheung-pyung around where most part were submerged by the Chungju large Dam founded in eurly 1980s, It used remote sensing image restoration Technique in this study in order to restore topographical features before the flood with stereo effects. We gathered comparatively good satellite photos and remotely sensed digital images, then its made a new fusion image from these various satellite images and the topographical map which had been made before the water filled by the DAM. This task was putting together two kinds of different timed images. And then, we generated DEM including the outskirts of that area as matching current contour lines with the map. That could be a perfect 3D image of test areas around before when it had been water filled by making perspective images from all directions included north, south, east and west, fer showing there in 3 dimensions. Also, for close range visiting made of flying simulation can bring to experience their real space at that time. As a result of this experimental task, it made of new fusion images and 3-D perspective images and simulation live images by remotely sensed photos and images, old paper maps about vanished submerged Dam areas and gained of possibility 3-D terrain image restoration about submerged area by large Dam construction.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
• /
• v.38 no.6
• /
• pp.655-661
• /
• 2020

SGM (Semi Global Matching) can be used to find all the conjugate points between stereo images. Therefore, it enables high-density DSM (Digital Surface Model) production from high-resolution satellite images. However, water, shadows, and occlusion areas cause mismatching of the surrounding points in this method. Particularly, in buildings with large-parallax and elongated-shapes such as a Korean style apartment, it is difficult to reconstruct the 3D building even if the SGM method is applied to a high-resolution 50cm satellite image. This study proposed and performed the SGM technique with a classified image and an edge image from the IKONOS-2 satellite stereo-image with a 1m resolution to produce DSM. It was compared with the DSMs from the general SGM and the high-density ABM (Area Based Matching) matching of ERDAS software. The results of the apartment DSM by the proposed method were the best in the test area. As a result, despite the image having a resolution of 1m, the outline of the building DSM could be expressed more clearly than the existing method.

• Proceedings of the Korean Society of Broadcast Engineers Conference
• /
• 2020.11a
• /
• pp.15-17
• /
• 2020

본 논문에서는 Convolutional Neural Network(CNN)를 이용한 위성 영상 변화탐지 알고리즘을 제안한다. 우선 EfficientNet 기반의 대칭 인코더-디코더 구조의 변화탐지 네트워크를 구성한다. 그리고 디코더 단에 ASPP 모듈을 추가하여 넓은 수용영역을 갖는 특징 정보를 통해 변화지도(change map)를 복원한다. 실험 결과를 통해 검출 성능 및 연산 효율성이 기존 기법보다 우수함을 보인다.

• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.44 no.1
• /
• pp.125-132
• /
• 2024

Optical satellite images are being used for national security and collection of information, and their utilization is increasing. However, it acquires low-quality images that are not suitable for the user's requirement due to weather conditions and time constraints. In this paper, a deep learning-based conversion of image and colorization model referring to high-resolution SAR images was created to simulate the occluded area with clouds of optical satellite images. The model was experimented according to the type of algorithm applied and input data, and each simulated images was compared and analyzed. In particular, the amount of pixel value information between the input black-and-white image and the SAR image was similarly constructed to overcome the problem caused by the relatively lack of color information. As a result of the experiment, the histogram distribution of the simulated image learned with the Gray-scale image and the high-resolution SAR image was relatively similar to the original image. In addition, the RMSE value was about 6.9827 and the PSNR value was about 31.3960 calculated for quantitative analysis.

• Proceedings of the Korean Information Science Society Conference
• /
• 2008.06c
• /
• pp.549-554
• /
• 2008

도시와 같은 광범위한 영역에 대한 지형, 지물의 기하 정보를 추출 또는 복원하는 기술은 공간 영상정보 시스템을 비롯한 다양한 응용분야에서 사용되고 있으며, 이러한 필요에 따라 중요성이 더욱 커지고 있다. 본 논문은 위성 영상에서 건물의 footprint와 rooftop, 그림자 정보를 이용하여 건물을 반 자동으로 모델링하고, 이를 지형에 정합하는 시스템을 제안한다. 제안하는 시스템은 사용자의 직접적인 조작과 자동으로 이루어는 부분을 조합하여, 최소한의 사용자 조작으로 건물을 모델링하고, 지형에 의한 요소를 고려하여 건물의 실제 위치를 보정하여 지형과 정합을 수행한다.

• Journal of the Korean Geographical Society
• /
• v.37 no.5
• /
• pp.511-521
• /
• 2002

Coastal sand dunes in West coast of Korea are under stress. Due to the newly constructed Seohaean(West Coast) Highways, the number of visitors and the anthropogenic pressures will keep rising in near future. Sea level rise due to the global warming may cause a lot of damage to the natural resources and residents of coastal area. Therefore, many countries including United States are doing nationwide coastline survey using highly sophisticated methodology. In this study, high resolution IKONOS satellite images along with aerial photographs taken since 1960's have been sequentially analyzed using GIS software (Erdas Imagine 8.3). Onsite monitoring has been performed at the 31 measuring points in 10 beaches since the May of 2001 in order to measure the sand budget. Post-construction monitoring after installation of sand fences is also being done on sites regularly. Restoration works seem to be effective at this moment.

• The Journal of the Korea Contents Association
• /
• v.5 no.6
• /
• pp.97-108
• /
• 2005

In this paper a method of reconstructing a desired image through the geometrical transformation and the interpolation techniques is presented by comparing different interpolation schemes. Several different interpolation schemes are compared with respect to the amount of error that is the difference between the original and the reverse-projective transformed images. Higher ordered B-spline interpolation turned to be superior to other techniques in reconstructing the image which is desired to be close to the unskewed image as much as possible. In the results, this paper demonstrates that the reverse projection using the higher ordered B-spline interpolation is superior to those conventional interpolation methods, linear, cubic spline for reconstructing image. In experiments, the error decreases as the order of B-spline increases. The proposed technique is useful for various practical and theoretical applications in the area of satellite, medical, and commercial image processing.