Full text: Technical Commission IV (B4)

Mode 
  
ge 
me 
1ge 
fer 
to 
| of 
iB, 
des 
OW 
ted 
ng. 
ion 
ce. 
zed 
tter 
ted 
Its, 
[it 
on, 
age 
ote 
rk, 
"his 
ese 
hod 
age 
ous 
be 
ribe 
can 
provide quick browsing of spatial data described in KML. In a 
geo-browser, all data are transmitted in the form of tile, which 
reduces the burden of network. This study represents just the 
first step in implementing collaborative interpretation of remote 
sensing image. As such, it has many limitations. For example, 
vector symbols for interpretation are too simple and few. An 
efficient conflict resolution mechanism is lacked. In future work, 
it is a challenge to design a symbol library for image 
interpretation, including providing KML elements descriptions 
and symbol tools. 
ACKNOWLEDGEMENTS 
This research was supported by “National Natural Science 
Foundation of China Grant 40971232 and 41023001”; 
“National Key Technology R&D Program of China Grant 
2012BAH35B03”; “National High Technology Research and 
Development Program of China Grant 2011 AA010500”; 
“Fundamental Research Funds for the Central Universities of 
China 20106190201000148". 
6. REFERENCES 
Andersen, T., Bjorn, P., Kensing, F. and Moll, J., 2011. 
Designing for collaborative interpretation in telemonitoring: Re- 
introducing patients as diagnostic agents. International Journal 
of Medical Informatics, 80(8): e112-e126. 
Austerschulte, M. and KeBler, C., 2010. Suggestive Geo- 
Tagging Assistance for Geo-Collaboration Tools., 0: 143-162. 
Baraghimian, T. and Young, M., 2001. GeoSpaces - A virtual 
collaborative software environment for interactive analysis and 
visualization of geospatial information, 2001 International 
Geoscience and Remote Sensing Symposium (IGARSS 2001). 
International Geoscience and Remote Sensing Symposium 
(IGARSS). Institute of Electrical and Electronics Engineers Inc., 
Sydney, NSW, Australia, pp. 1678-1680. 
Carlos, A. et al., 2000. disnei: A collaborative environment for 
medical images analysis and visualization. 
Convertino, G., Ganoe, C.H., Schafer, W.A., Yost, B. and 
Carroll, J.M., 2005. A multiple view approach to support 
common ground in distributed and synchronous geo- 
collaboration, Coordinated and Multiple Views in Exploratory 
Visualization, 2005. (CMV 2005). Proceedings. Third 
International Conference on, pp. 121- 132. 
Di Ciaccio, R., Pullen, J. and Breimyer, P., 2011. Enabling 
distributed command and control with  standards-based 
geospatial collaboration, 11th IEEE International Conference 
on Technologies for Homeland Security, HST 2011, November 
15, 20011 - November 17, 2011. 2011 IEEE International 
Conference on Technologies for Homeland Security, HST 2011. 
IEEE Computer Society, Waltham, MA, United states, pp. 512- 
517. 
Hu, Y., Haynor, D.R. and Maravilla, K.R., 2007. WHIPPET - : 
à collaborative software environment for medical image 
processing and analysis., 8(31). 
Huang, Y., ChunYang, H., Yongwang, Z. and Dianfu, M., 2009. 
Web-based remote collaboration over medical image using web 
211 
services, Information Infrastructure Symposium, 2009. GIIS '09. 
Global, pp. 1-8. 
http://code.google.com/intl/zh- 
CN/apis/kml/documentation/kmlreference.html (2010) 
Lim, Y.S., Feng, D.D. and Cai, T.W., 2001. A web-based 
collaborative system for medical image analysis and diagnosis, 
Selected papers from the  Pan-Sydney workshop on 
Visualisation - Volume 2. Australian Computer Society, Inc., 
Sydney, Australia, pp. 93-95. 
Liu, Y., 2004. Study on Grouping Interpretation Technology for 
Remote Sensing Images, Institute of Remote Sensing 
Applications Chinese Academy of Sciences, Beijing. 
Richards, J.A. and Jia, X., 2006. Remote Sensing Digital Image 
Analysis: An Introduction 4th Edition, 46. Springer, New York, 
439 pp. 
Xu, B. et al, 2011. Collaborative virtual geographic 
environments: A case study of air pollution simulation. 
Information Sciences, 181(11): 2231-2246. 
Xu, G., 2005. Research and Implementation of Cooperative 
Remote Sensing Image Interpreting System, Institute of 
Electronics Chinese Academy of Sciences, Beijing. 
Zhang, J. et al, 2000. Real-time teleconsultation with high- 
resolution and large-volume medical images for collaborative 
healthcare. Information Technology in Biomedicine, IEEE 
Transactions on, 4(2): 178-185. 
Zhang, R. et al., 2004. A telemedicine system for collaborative 
work on radiographic coronary video-images. Journal of 
Telemedicine and Telecare, 10(3): 152 -155. 
 
	        
Waiting...

Note to user

Dear user,

In response to current developments in the web technology used by the Goobi viewer, the software no longer supports your browser.

Please use one of the following browsers to display this page correctly.

Thank you.