• Title/Summary/Keyword: Shadow extraction

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Building Modeling System on Satellite Image using Footprint and Shadow (Footprint 와 그림자를 이용한 위성영상의 건물 모델링 시스템)

  • Oh, Seon-Ho;Jang, Jae-Seok;Jang, Kyung-Ho;Jung, Soon-Ki
    • 한국HCI학회:학술대회논문집
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    • 2008.02a
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    • pp.807-812
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    • 2008
  • 최근 고해상도 위성영상이 널리 보급됨에 따라 공간 영상 정보를 활용한 사업이나 다양한 응용 분야에서도 지형 또는 지물의 기하 정보의 필요성이 커지고 있다. 특히 공간 영상 정보 시스템에서는 지형 또는 지물에 대한 사실적인 정보를 제공하여 이를 이용한 도시 개발 계획의 수립이나 도로망의 개선 등 다양한 분야로 활용되고 있다. 본 논문은 단일 위성영상에서 건물의 footprint, rooftop 과 그림자 정보를 이용하여 건물을 효과적으로 모델링하기 위한 반 자동화 시스템을 제안한다. 위성영상으로부터 건물의 기하 정보의 추출 및 복원 시 고려할 것은 사용자의 조작을 최소화하면서도 보다 정확하고 빠르게 모델링 및 편집이 가능하여야 한다는 것이다. 이를 위해서 위성영상과 영상의 메타 정보의 활용과 효율적인 조작이 이루어 질 수 있는 인터페이스가 필요하다. 따라서 본 논문에서는 사용자의 입력에 의해 건물의 정보(rooftop, footprint)를 추출하고, 건물의 정보와 메타정보로부터 관심 건물영역에 대한 그림자 정보를 추출한 다음, 높이 정보를 자동적으로 추출해 냄으로써 최소한의 사용자 입력으로 건물을 효과적으로 모델링 할 수 있다.

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Separation of Iron and Nickel from Heavily Concentrated Aqueous Ferric Chloride Solution by Liquid-liquid Extraction (염화 제2철 농축 수용액으로부터의 액-액 추출에 의한 철과 니켈의 분리)

  • Park, Moo-Ryong;Kim, Young-Wook;Park, Jae-Ho;Park, Chin-Ho
    • Clean Technology
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    • v.13 no.4
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    • pp.274-280
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    • 2007
  • A liquid-liquid solvent extraction process was developed in this study to recover Fe and Ni from heavily concentrated aqueous ferric chloride solution, in an effort to substitute the conventional iron reduction method. Solvent composition and extraction conditions were first developed from the laboratory experiments, and the pilot system was designed and built for commercialization. Stage numbers for extraction and stripping were determined from pilot plant runs, and other operation data were obtained for mass production.

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HSV Color Model Based Front Vehicle Extraction and Lane Detection using Shadow Information (그림자 정보를 이용한 HSV 컬러 모델 기반의 전방 차량 검출 및 차선 정보 검출)

  • 한상훈;조형제
    • Journal of Korea Multimedia Society
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    • v.5 no.2
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    • pp.176-190
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    • 2002
  • According as vehicles increases, system such as Advanced Drivers Assistance System(ADAS ) to inform forward situation to driver is required. In this paper, we proposes method to detect forward vehicles and lane from sequential color images by basis process to inform forward situation to driver. We detect a front vehicle using that shadow area exists on part under vehicles and that road area occupies many parts even if road traffic is confused. We detect lane information using that lane part is white order by reverse characteristic of shadow area. This method shows good result in case road is confused or there is direction indication to road. HSV color space is selected for color modeling. This method uses saturation component and value component in HSV color model to detect vehicles and lane. It uses statistics features of HSV component and position to know whether detected vehicles area is vehicles such as vehicles previous frame. To verify the effects of the proposed method, we capture the road images with notebook and CCD camera for PC and Present the results such as processing time, accuracy and vehicles detection against the images.

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3D BUILDING INFORMATION EXTRACTION FROM A SINGLE QUICKBIRD IMAGE

  • Kim, Hye-Jin;Han, Dong-Yeob;Kim, Yong-Il
    • Proceedings of the KSRS Conference
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    • v.1
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    • pp.409-412
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    • 2006
  • Today's commercial high resolution satellite imagery such as IKONOS and QuickBird, offers the potential to extract useful spatial information for geographical database construction and GIS applications. Recognizing this potential use of high resolution satellite imagery, KARI is performing a project for developing Korea multipurpose satellite 3(KOMPSAT-3). Therefore, it is necessary to develop techniques for various GIS applications of KOMPSAT-3, using similar high resolution satellite imagery. As fundamental studies for this purpose, we focused on the extraction of 3D spatial information and the update of existing GIS data from QuickBird imagery. This paper examines the scheme for rectification of high resolution image, and suggests the convenient semi-automatic algorithm for extraction of 3D building information from a single image. The algorithm is based on triangular vector structure that consists of a building bottom point, its corresponding roof point and a shadow end point. The proposed method could increase the number of measurable building, and enhance the digitizing accuracy and the computation efficiency.

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Cast Shadow Extraction of Mountainous Terrain in Satellite Imagery (위성영상에서 산악지역의 그림자 추출)

  • 손홍규;윤공현;송영선
    • Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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    • 2004.04a
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    • pp.309-312
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    • 2004
  • In mountainous area with high relief, topography may cause cast shadows due to the blocking of direct solar radiation. Remote sensing images of these landscapes display reduced values of reflectance for shadowed areas compared to non-shadowed areas with similar surface cover characteristics. A variety of approaches are possible, though a common step in various active approaches is first to delineate the shadows using automated algorithm and digital surface model (or digital elevation model). This articles demonstrates a common confusion caused by cast shadows

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Directional texture information for connecting road segments in high spatial resolution satellite images

  • Lee, Jong-Yeol
    • Proceedings of the KSRS Conference
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    • 2005.10a
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    • pp.245-245
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    • 2005
  • This paper addresses the use of directional textural information for connecting road segments. In urban scene, some roads are occluded by buildings, casting shadow of buildings, trees, and cars on streets. Automatic extraction of road network from remotely sensed high resolution imagery is generally hindered by them. The results of automatic road network extraction will be incomplete. To overcome this problem, several perceptual grouping algorithms are often used based on similarity, proximity, continuation, and symmetry. Roads have directions and are connected to adjacent roads with certain angles. The directional information is used to guide road fragments connection based on roads directional inertia or characteristics of road junctions. In the primitive stage, roads are extracted with textural and direction information automatically with certain length of linearity. The primitive road fragments are connected based on the directional information to improve the road network. Experimental results show some contribution of this approach for completing road network, specifically in urban area.

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Landcover Information Extraction from Satellite Imagery for the Urban and Residential Environmental Maintenance Planning (도시 및 주거환경정비계획을 위한 위성영상으로부터의 토지피복정보 추출)

  • Seo, dong-jo;Choi, bong-moon
    • Proceedings of the Korea Contents Association Conference
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    • 2008.05a
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    • pp.444-448
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    • 2008
  • It was investigated to apply the information of the satellite imagery to the field of urban planning. Built-up area and road area are very important factors in the field of urban planning. To extract these information from the satellite imagery, landcover classes were categorized into the 4 classes, exterior space, built-up area, vegetation and shadow. And it was discussed what is needed for landcover classifications and essential factors on the information extraction.

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Distribution of Phlorotannins in the Brown Alga Ecklonia cava and Comparison of Pretreatments for Extraction

  • Chowdhury, Muhammad Tanvir Hossain;Bangoura, Issa;Kang, Ji-Young;Park, Nam-Gyu;Ahn, Dong-Hyun;Hong, Yong-Ki
    • Fisheries and Aquatic Sciences
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    • v.14 no.3
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    • pp.198-204
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    • 2011
  • The brown seaweed Ecklonia cava is known to be a rich source of phlorotannins that have diverse biological activities. Among the phlorotannins in E. cava, concentrations of dieckol and phlorofucofuroeckol-A, which were identified as major active components, were determined in different parts of the tissue. We compared the efficacy of different pretreatments for their extraction. A high-performance liquid chromatography (HPLC) method to determine phlorotannin concentrations showed good accuracy (92.64 and 94.02%, respectively), precision (3.92 and 3.94%, respectively), and linearity (r>0.996). Mature thalli contained 1.5-fold more dieckol (1.82 mg/g-dry tissue) than young thalli. In the tissues of E. cava, blade tissue contained more phlorotannins than the stipe or holdfast. Among differently dried thalli, approximately 90% or more dieckol and phlorofucofuroeckol-A were extracted from shadow-dried tissue as compared with lyophilized tissue. In sun-dried and oven-dried thalli, approximately 60% of the phlorotannins were extracted. Thalli washed with fresh water, boiled thalli, and steamed thalli showed reduced extraction of the compounds.

Flocculation of microalgae using extracellular polymeric substances (EPS) extracted from activated sludge

  • Dong, Dandan;Seo, Dongmin;Seo, Sungkyu;Lee, Jae Woo
    • Membrane and Water Treatment
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    • v.9 no.3
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    • pp.147-153
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    • 2018
  • This study investigates the role of microbial extracellular polymeric substances (EPSs) as bioflocculants to harvest microalgae (water-microalgae separation). The EPS extracted from waste activated sludge (WAS) by heat extraction were fractionated into soluble EPS (S-EPS), loosely-bound EPS (LB-EPS) and tightly-bound EPS (TB-EPS) forms. All the EPSs facilitated the flocculation of microalgal cells from stable growth medium. Of those EPSs, the TB-EPS showed the highest flocculating activity (FA) resulting in the substantial decrease in the amount of EPS added in terms of total organic carbon (TOC) during flocculation. The FA of microalgae was improved with the increase in TB-EPS dose, however, excessive dose of TB-EPS adversely affected it due to destabilization. Both LB- and TB-EPS could be utilized for flocculating microalgae as a sustainable option to the existing chemical-based flocculants. In addition to the conventional assessments, the effectiveness of the two bioflocculants for floc forming was also confirmed using a novel assessment of lens-free shadow imaging technique (LSIT), which was firstly applied for the rapid and quantitative assessment of microalgal flocculation.

Baggage Recognition in Occluded Environment using Boosting Technique

  • Khanam, Tahmina;Deb, Kaushik
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.11 no.11
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    • pp.5436-5458
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    • 2017
  • Automatic Video Surveillance System (AVSS) has become important to computer vision researchers as crime has increased in the twenty-first century. As a new branch of AVSS, baggage detection has a wide area of security applications. Some of them are, detecting baggage in baggage restricted super shop, detecting unclaimed baggage in public space etc. However, in this paper, a detection & classification framework of baggage is proposed. Initially, background subtraction is performed instead of sliding window approach to speed up the system and HSI model is used to deal with different illumination conditions. Then, a model is introduced to overcome shadow effect. Then, occlusion of objects is detected using proposed mirroring algorithm to track individual objects. Extraction of rotational signal descriptor (SP-RSD-HOG) with support plane from Region of Interest (ROI) add rotation invariance nature in HOG. Finally, dynamic human body parameter setting approach enables the system to detect & classify single or multiple pieces of carried baggage even if some portions of human are absent. In baggage detection, a strong classifier is generated by boosting similarity measure based multi layer Support Vector Machine (SVM)s into HOG based SVM. This boosting technique has been used to deal with various texture patterns of baggage. Experimental results have discovered the system satisfactorily accurate and faster comparative to other alternatives.