• Title/Summary/Keyword: satellite photographs

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The comparative study of PKNU2 Image and Aerial photo & satellite image

  • Lee, Chang-Hun;Choi, Chul-Uong;Kim, Ho-Yong;Jung, Hei-Chul
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.453-454
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    • 2003
  • Most research materials (data), which are used for the study of digital mapping and digital elevation model (DEM) in the field of Remote Sensing and Aerial Photogrammetry are aerial photographs and satellite images. Additionally, they are also used for National land mapping, National land management, environment management, military purposes, resource exploration and Earth surface analysis etc. Although aerial photographs have high resolution, the data, which they contain, are not used for environment exploration that requires continuous observation because of problems caused by its coastline, as well as single - spectral and long-term periodic image. In addition to this, they are difficult to interpret precisely because Satellite Images are influenced by atmospheric phenomena at the time of photographing, and have by far much lower resolution than existing aerial photographs, while they have a great practical usability because they are mulitispectral images. The PKNU 2 is an aerial photographing system that is made to compensate with the weak points of existing aerial photograph and satellite images. It is able to take pictures of very high resolution using a color digital camera with 6 million pixels and a color infrared camera, and can take perpendicular photographs because PKNU 2 system has equipment that makes the cameras stay level. Moreover, it is very cheap to take pictures by using super light aircraft as a platform. It has much higher resolution than exiting aerial photographs and satellite images because it flies at a low altitude about 800m. The PKNU 2 can obtain multispectral images of visible to near infrared band so that it is good to manage environment and to make a classified diagram of vegetation.

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A Study on the Problem for discussion about Photogeography (사진지리학의 역할과 범위)

  • Kim, Joo-Hwan
    • Journal of the Speleological Society of Korea
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    • no.74
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    • pp.33-43
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    • 2006
  • The purpose of this study is to scientifically establish the concepts of photogeography, and to present desirable directions for the pursuit of photogeography in Korea. Photogeography is to effectively utilize the documentary and artistic nature of the photo, as an image medium, in the geographic study. The concept of photogeography, along with the term photogeology, is already known widely in foreign countries, and extensive research has been carried out in the field. However, here in Korea, nobody knows the concept of photogeography. Since photogeography has not been systemized as a science, and interest in photography is being minimal, photography, in reality, has in no way been utilized effectively. The photographs used in Photogeography can be classified, according to character, into two major categories, geographic photographs and general photographs, and, according to subject and camera, into still photographs and dynamic photographs. Photographs, such single photographs, slides, air photographs and satellite photographs are in the category of still photographs, while pictures like video and movie pictures are dynamic photographs.

Watershed Algorithm-Based RoI Reduction Techniques for Improving Ship Detection Accuracy in Satellite Imagery (인공 위성 사진 내 선박 탐지 정확도 향상을 위한 Watershed 알고리즘 기반 RoI 축소 기법)

  • Lee, Seung Jae;Yoon, Ji Won
    • KIPS Transactions on Software and Data Engineering
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    • v.10 no.8
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    • pp.311-318
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    • 2021
  • Research has been ongoing to detect ships from offshore photographs for a variety of reasons, including maritime security, identifying international trends, and social scientific research. Due to the development of artificial intelligence, R-CNN models for object detection in photographs and images have emerged, and the performance of object detection has risen dramatically. Ship detection in offshore photographs using the R-CNN model has also begun to apply to satellite photography. However, satellite images project large areas, so various objects such as vehicles, landforms, and buildings are sometimes recognized as ships. In this paper, we propose a novel methodology to improve the performance of ship detection in satellite photographs using R-CNN series models. We separate land and sea via marker-based watershed algorithm and perform morphology operations to specify RoI one more time, then detect vessels using R-CNN family models on specific RoI to reduce typology. Using this method, we could reduce the misdetection rate by 80% compared to using only the Fast R-CNN.

North Korea Cement Industry in Satellite Imagery (위성사진으로 본 북한의 시멘트 산업)

  • Baek, Chul-Seoung;Seo, Jun-Hyung;Cho, Jin-Sang;Ahn, Ji-Whan;Cho, Kye-Hong
    • Ceramist
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    • v.22 no.2
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    • pp.198-214
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    • 2019
  • The possibility of economic exchange with North Korea is increasing, but there is still a shortage of information of cement industry, which occupies the largest proportion of North Korean construction material industry. Therefore, this study researched the status of cement production facility management using satellite photographs of 16 cement factories in North Korea, and examined the operating status of North Korean cement industry by observing smoke discharged from the chimneys of the cement production facilities. When the satellite photographs were analyzed, it was observed that the monthly stack fog ratio of the North Korean cement factories was 55% in 2016, 60% in 2017 and nearly 65% in 2018. This demonstrates that the average operating ratio has been increasing continuously. However, the operation rate of the five major cement factories reaches the limit, actual cement production is estimated to have maintained the previous level or small increased.

FUSION OF LASER SCANNING DATA, DIGITAL MAPS, AERIAL PHOTOGRAPHS AND SATELLITE IMAGES FOR BUILDING MODELLING

  • Han, Seung-Hee;Bae, Yeon-Soung;Kim, Hong-Jin;Bae, Sang-Ho
    • Proceedings of the KSRS Conference
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    • v.2
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    • pp.899-902
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    • 2006
  • For a quick and accurate 3D modelling of a building, laser scanning data, digital maps, aerial photographs and satellite images should be fusioned. Moreover, library establishment according to a standard structure of a building and effective texturing method are required in order to determine the structure of a building. In this study, we made a standard library by categorizing Korean village forms and presented a model that can predict a structure of a building from a shape of the roof on an aerial photo image. We made an ortho image using the high-definition digital image and considerable amount of ground scanning point cloud and mapped this image. These methods enabled a more quick and accurate building modelling.

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Bundle Adjustment of Aerial Photographs using GCP Image Chip (영상칩 지상기준점을 이용한 항공사진 번들조정)

  • 김기홍;손홍규;김호성;백종하;이재원
    • Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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    • 2004.11a
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    • pp.239-243
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    • 2004
  • Recently various thematic maps and image maps using aerial photograph and satellite imagery are frequently made. The geo-referencing is essential to make image map and topographic map using aerial photograph and satellite imagery. For this geo-referencing, Ground Control Points (GCPs) are needed. In this paper, we used GPS relative positioning to measure GCP ground coordinate and the accuracy of 8cm level was achieved. We made GCP image chips for the efficiency of geo-referencing and carried out the bundle adjustment of aerial photographs using GCP image chips to acquire the GCP photo coordinate with image matching technique. Finally we analyzed the accuracy of bundle adjustment compared to the accuracy of the case in using digital maps to acquire GCP photo coordinate.

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A Study of Make Inundation Map Using Satellite Photograph at Urban River (위성사진을 이용한 도시하천 홍수범람도 작성에 관한 연구)

  • Park, Ki-Bum;Kim, Sung-Won
    • Journal of Environmental Science International
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    • v.20 no.2
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    • pp.199-205
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    • 2011
  • This study used to the satellite photograph and drew up a flood inundation map. To past used digital map and showed reflect the inundation map and change of the city was difficult. The acquisition of the satellite photograph is easy from internet Site of Korea and is updated quickly. So, used the satellite photograph from flood inundation drawing up of existing and reflected the change of the city. Drawing up method of the inundation map in compliance with the research which sees the reflection of the land use which is actual is possible. Results of HEC-RAS with depth and an inundation location to be show easily. But there is to a combination method of the satellite photographs and GIS data and more objective and the subject the development of the technique which has reached fixed quantity must be researched continuously judges.

Image Mosaic of 1960s Satellite Photographs Covering Korean Peninsula (1960년대 한반도 모자이크 영상 제작)

  • 손홍규;김기홍;박종현;이진화
    • Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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    • 2004.03a
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    • pp.565-570
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    • 2004
  • 우리나라는 1960년대부터 산업발전과 함께, 급속한 도시화가 이루어졌다. 현재 활용 가능한 위성영상은 1975년 이후에 얻어진 영상이기 때문에 미국에서 1995년 일반에 공개된 DSI (Declassified Satellite Imagery) 영상은 1960년대 한반도의 지형정보를 제공하는 유일한 위성영상 자료이며 DSI 중 해상포가 2m 급에 이르는 CORONA 영상은 도시, 산림 환경의 변화를 탐지하는데 매우 유용하다. 본 논문에서의 과거의 한반도를 영상지도로 만들기 위해 모자이크 영상을 제작하였으며 모자이크 영상을 제작하기 위한 기하보정 방법에 대해 비교 분석하였다. 또한 최근 공개된 KH-9 영상을 기하보정하고 정확도를 분석하였다.

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Feature-based Image Analysis for Object Recognition on Satellite Photograph (인공위성 영상의 객체인식을 위한 영상 특징 분석)

  • Lee, Seok-Jun;Jung, Soon-Ki
    • Journal of the HCI Society of Korea
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    • v.2 no.2
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    • pp.35-43
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    • 2007
  • This paper presents a system for image matching and recognition based on image feature detection and description techniques from artificial satellite photographs. We propose some kind of parameters from the varied environmental elements happen by image handling process. The essential point of this experiment is analyzes that affects match rate and recognition accuracy when to change of state of each parameter. The proposed system is basically inspired by Lowe's SIFT(Scale-Invariant Transform Feature) algorithm. The descriptors extracted from local affine invariant regions are saved into database, which are defined by k-means performed on the 128-dimensional descriptor vectors on an artificial satellite photographs from Google earth. And then, a label is attached to each cluster of the feature database and acts as guidance for an appeared building's information in the scene from camera. This experiment shows the various parameters and compares the affected results by changing parameters for the process of image matching and recognition. Finally, the implementation and the experimental results for several requests are shown.

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The Land Surface Temperature Analysis of Seoul city using Satellite Image (위성영상을 통한 서울시 지표온도 분석)

  • Jeong, Jong-Chul
    • Journal of Environmental Impact Assessment
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    • v.22 no.1
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    • pp.19-26
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    • 2013
  • The propose of this study is to analyze the optimum spatial resolution of the urban spatial thermal environment structure and to evaluate of the possibility detection using aerial photographs and thermal satellite images. The proper techniques of the optimum spatial resolution for the urban spatial thermal environment structure were analyzed. Thermal infrared satellite image of Seoul city were used for the change rate of surface temperature variation and suggested to the spatial extent and effects of urban surface characteristics and spatial data was interpreted as regions. To extract the surface temperature, Landsat thermal infrared satellite image compared with an automatic weather station data and in the field of the measured temperature and surface temperature by thermal environment affects, the spatial domain has been verified. The surface temperature of the satellite images to extract after adjusting surface temperature isotherms were constructed. The changes in surface temperature from 2008 to 2012 the average surface temperature observation images of changing areas were divided into space. The results of this study are as follows: Through analysis of satellite imagery, Seoul city surface temperature change due to extraction comfort indices were classified into four grades. The comfort index indicative of the temperature of Gangnam-gu, $23.7{\sim}27.2(^{\circ}C)$ range and Songpagu, a $22.7{\sim}30.6(^{\circ}C)$ respectively, the surface temperature of Yeouido $25.8{\sim}32.6(^{\circ}C)$ were in the range.