نتایج جستجو برای: geo

تعداد نتایج: 15047  

2005
Deren LI

After the setup of spatial data infrastructure (SDI) and national information infrastructure (NII) in many countries geo-services become one of the most important and attractive tasks. With the integration of GPS, GIS and Remote Sensing (RS) we can principally answer any geo-spatial related question: when and where what object has which changes? An intelligent Geo-service agent would provide th...

2014
Miho Sasaki Misa Sumi Sato Eida Ikuo Katayama Yuka Hotokezaka Takashi Nakamura

Intravoxel incoherent motion (IVIM) imaging can characterize diffusion and perfusion of normal and diseased tissues, and IVIM parameters are authentically determined by using cumbersome least-squares method. We evaluated a simple technique for the determination of IVIM parameters using geometric analysis of the multiexponential signal decay curve as an alternative to the least-squares method fo...

2014
Pascal Richard

As the number of space debris on earth’s orbit increases steadily, the need to survey, track and catalogue them becomes of key importance. In this context, CNES has been using the TAROT Telescopes (Rapid Telescopes for Transient Objects owned and operated by CNRS) for several years to conduct studies about space surveillance and tracking. Today, two testbeds of services using the TAROT telescop...

2015
Yuriko Uehara Katsutoshi Oda Yuji Ikeda Takahiro Koso Shingo Tsuji Shogo Yamamoto Kayo Asada Kenbun Sone Reiko Kurikawa Chinami Makii Otoe Hagiwara Michihiro Tanikawa Daichi Maeda Kosei Hasegawa Shunsuke Nakagawa Osamu Wada-Hiraike Kei Kawana Masashi Fukayama Keiichi Fujiwara Tetsu Yano Yutaka Osuga Tomoyuki Fujii Hiroyuki Aburatani

There are errors in the Data Availability statement. The correct statement is: The expression array data are freely available in the GEO website (The accession number is GSE65986 in GEO website (http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE65986). The SNP array data are available from NBDC (National Bioscience Database Center) website under controlled access (http://biosciencedbc.jp/en/...

2011
Matheus Silva Mota João Sávio C. Longo Daniel Cintra Cugler Claudia Bauzer Medeiros

There are several approaches to extract geo-knowledge from documents and textual fields in databases. Most of them focus on detecting geographic evidence, from which the associated geographic location can be determined. This paper is based on a different premise – geo-knowledge can be extracted even from non-geographic evidence, taking advantage of the linked data paradigm. The paper gives an o...

2006
Yi Li Nicola Stokes Lawrence Cavedon Alistair Moffat

We report on the experiments undertaken by the NICTA I2D2 Group as part of GeoCLEF 2006, as well as post-GeoCLEF evaluations and improvements to the submitted system. In particular, we used techniques to assign probabilistic likelihoods to geographic candidates for each identified geo-term, and a probabilistic IR engine. A normalisation process that adjusts term weights, so as to prevent expand...

Journal: :مطالعات اوراسیای مرکزی 0
علی ولیقلی زاده استادیار جغرافیای سیاسی، دانشگاه مراغه

from the perspective of the states that their foreign policy is based on geo-economy, the economy is the most important mechanism of influence in target areas. therefore, with the strengthening of trade relations would be in an appropriate level to increase the mutual relations.  after the independence of central eurasian states, geographical - political events of central eurasia led to the cre...

2008
Y. Tanimura

The Global Earth Observation (GEO) Grid infrastructure is an E-Science infrastructure which enables global research activity and drives geosciences to get a significant discovery or achievement in their fields. The main design principal of the GEO Grid system is the open and standard protocol-based architecture. It supports creation of a virtual organization (VO) by integrating data and computi...

Journal: :Remote Sensing 2017
Li Shen Linmei Wu Yanshuai Dai Wenfan Qiao Ying Wang

Image segmentation is a key prerequisite for object-based classification. However, it is often difficult, or even impossible, to determine a unique optimal segmentation scale due to the fact that various geo-objects, and even an identical geo-object, present at multiple scales in very high resolution (VHR) satellite images. To address this problem, this paper presents a novel unsupervised objec...

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