Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Choung-Hwan Park"'
Publikováno v:
Sensors, Vol 9, Iss 6, Pp 4543-4558 (2009)
Positioning technology to track a moving object is an important and essential component of ubiquitous computing environments and applications. An RFID-based positioning system using the k-nearest neighbor (k-NN) algorithm can determine the position o
Externí odkaz:
https://doaj.org/article/04877c166b92493d9a140359137b1469
Publikováno v:
Sensors (Basel, Switzerland)
Sensors, Vol 9, Iss 6, Pp 4543-4558 (2009)
Sensors
Volume 9
Issue 6
Pages 4543-4558
Sensors, Vol 9, Iss 6, Pp 4543-4558 (2009)
Sensors
Volume 9
Issue 6
Pages 4543-4558
Positioning technology to track a moving object is an important and essential component of ubiquitous computing environments and applications. An RFID-based positioning system using the k-nearest neighbor (k-NN) algorithm can determine the position o
Publikováno v:
Journal of the Korean Society of Marine Engineering. 32:677-683
The electric propulsion system us closely related with the economical efficiency of ship operation. Fuel efficiency is mainly decided by propulsion system such as diesel engine, propulsion motor and steam turbine. The hybrid propulsion system for fis
Publikováno v:
Photogrammetric Engineering & Remote Sensing. 73:285-296
It is important to determine quickly the extent of flooding during extreme cases. Even though SAR imagery with its own energy sources is highly applicable to flood monitoring owing to its sensitivity to the water area, topographic effects caused by l
Publikováno v:
The Photogrammetric Record. 20:366-383
This paper presents an image matching technique for IKONOS satellite imagery based on rational function models (RFMs). This algorithm adopts the object-space approach and reduces the search space to within the confined line-shaped area called the pie
Publikováno v:
Journal of the Japan society of photogrammetry and remote sensing. 43:4-12
The Rational Function Coefficients (RFCs) provided with the high-resolution satellite imagery show an accuracythat is relatively low and inconsistent with their original image quality. Also, there have only been a few detailed researches about 3-D te
Publikováno v:
KSCE Journal of Civil Engineering. 7:585-593
RFM (Rational Function Model) is universally applicable to any types of sensors. The RFCs (Rational Function Coefficients) can be solved with or without knowing the physical sensor models. If the physical sensor model is available, so called terrain-
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540465423
KES (3)
KES (3)
This paper describes an efficient 3-D positioning method of SAR image only using ephemeris data and a single control point. The proposed method is applied to RADARSAT-1 SGF images of which ephemeris information is not accurate enough to directly use
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::30298891fde5af939764ac683f6414a1
https://doi.org/10.1007/11893011_68
https://doi.org/10.1007/11893011_68
Publikováno v:
Computational Science and Its Applications-ICCSA 2006 ISBN: 9783540340720
ICCSA (2)
ICCSA (2)
This paper proposes an effective matching strategy to reconstruct 3-D urban models in densely built-up areas. Proposed scheme includes two main steps: feature-based image matching using building recognition technique and 3-D building reconstruction u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::81d459a388639565dfffd77e9140572b
https://doi.org/10.1007/11751588_110
https://doi.org/10.1007/11751588_110
Publikováno v:
Emerging Directions in Embedded and Ubiquitous Computing ISBN: 9783540368502
EUC Workshops
EUC Workshops
This paper presents a true ortho-image generation scheme in urban areas for web GIS application such as urban management system. Proposed scheme includes the solution of conventional problems in normal ortho-image generation. Especially, our approach
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1fda5bad03816f7f82c1f728554bd58f
https://doi.org/10.1007/11807964_93
https://doi.org/10.1007/11807964_93