Buradasınız

Anasayfa » Content

DAĞITIK SİSTEMLERDE UYDU GÖRÜNTÜSÜ TRANSFERİ: RASTER VE VEKTÖR TEMSİL KARŞILAŞTIRMASI

SATELLITE IMAGE TRANSFERRING IN DISTRIBUTED SYSTEMS: COMPARISON OF RASTER AND VECTOR REPRESENTATION

Journal Name:

  • Havacılık ve Uzay Teknolojileri Dergisi

Publication Year:

  • 2013

Key Words:

Keywords (Original Language):

Author NameUniversity of AuthorFaculty of Author
Abstract (2. Language): 
Distributed image processing applications are constrained by the limited network bandwidth and huge image sizes. On the other hand, in some cases, applications containing images include spatial and topological queries not requiring pixel-based information. In such applications, using vector representations of raster images is expected to give better performance results. In this paper, we setup a scenario to transfer a Landsat Gokceada satellite image from one machine to another through web services. We perform the tests for both vector and raster forms of the same image and analyze transmission and response times.
Bookmark/Search this post with
Abstract (Original Language): 
Dağıtık sistemlerde görüntü işleme geliştirmek sınırlı network bant genişliği ve görüntü boyutunun çok büyük olmasından dolayı zordur. Diğer yandan, çoğu zaman sadece uzaysal ve topolojik sorgular gerektiren uygulamalar piksel tabanlı bilgiye ihtiyaç duymazlar. Raster görüntünün vektör temsillerini kullanan bu tür uygulamaların daha iyi performans kazanımları vereceği düşünülmektedir. Biz bu makalede Landsat Gökçeada uydu görüntüsünü web servisleri yardımıyla bir makineden diğerine transfer ettiğimiz bir senaryo kurguladık ve değişik boyutlu harita verilerinin hem raster hem de vektör formatının iletim ve cevap sürelerini test edip analiz ettik.
FULL TEXT (PDF): 
PDF icon arastirmax-dagitik-sistemlerde-uydu-goruntusu-transferi-raster-vektor-temsil-karsilastirmasi.pdf
  • 1
63
69
  • Turkish

REFERENCES

References: 

[1] Fischer M.M., Nijkamp P., “Geographic
Information Systems, Spatial Modeling, and Policy
Evaluation”, Springer, New York, 1993.
[2] Bertolotto M.,Egenhofer M.J., (1999)
“Progressive Vector Transmission”, Proceedings of
the 7th ACM international symposium on Advances in
geographic information systems, pp. 152-157.
[3] Gonzales R.C., Woods R.E., “Digital Image
Processing”, Addison-Wesley, 1993.
[4] Martin M.B., Bell A.E., (2001) “New Image
Compression Techniques Using Multiwavelets and
Multiwavelet Packets”, IEEE Transactions on Image
Processing, Vol. 10, No. 4, pp. 500-510.
[5] Barnsley M.F., (1989) “Fractals Everywhere”,
Academic Press, San Diego.
[6] Woon W.M., Anthony Tung S.H., Tao Y., Siu
C.T., Siong C.T., Lian T.Y. (2000)“Achieving
Highdata Compression of Self-Similar Satelliteimages
Using Fractal”, Proc. Of IEEE International
Symposium on Geoscience and Remote Sensing, Vol.
2, pp. 609-611.
[7] Ho A.T.-S., Siu-Chung T., Siong-Chai
T., Lian-Teck Y., (1999) “A Novel Hybrid Bi-
Orthogonal Wavelets/ADPCM Algorithm for Very
Low Bit Rate Satellite Image Compression”, Proc. Of
IEEE International Symposium on Geoscience and
Remote Sensing, Vol. 4, pp. 2051-2053.
[8] Rauschenbach U., Schumann H., (1999)
“Demand-Driven Image Transmission with Levels of
Details and Regions of Interest”, Computer and
Graphics, Vol. 23, No. 6, pp. 857-866.
[9] MagilloL.P., PuppoE., (2000) “Compressing
Triangulated Irregular
Networks”,GeoInformatica,Vol. 4, No. 1, pp. 67-88.
[10] Park D., Cho H., Kim Y., (2001) “A TIN
Compression Method Using Delaunay
Triangulation”,International Journal of Geographical
Information Science, Vol. 15, No. 3, pp. 255-270.
[11] Wessel P., (2003) “Compression of Large Data
Grids for Internet Transmission”,Computers &
Geosciences, Vol. 29, No. 5, pp. 665-671.
[12] Bertolotto M., Egenhofer M.J., (2001)
“Progressive Transmission of Vector Map Data Over
the World Wide Web”,GeoInformatica, Vol. 5, No. 4,
pp. 345-373.
[13] Buttenfield B.P., (2002) “Transmitting Vector
Geospatial Data Across the Internet”,Lecture Notes in
Computer Science, pp. 2478, 2002.
[14] Han H., TaoV., Wu H., (2003) “Progressive
Vector Data Transmission”,Proceedings of the 6th
AGILE, pp. 103-113.
[15] Yang B.S., Purves R.S., Weibel R., (2004)
“Implementation of Progressive Transmission
Algorithms for Vector Map Data in Web-Based
Visualization”,Xxth Congress of the International
Society for Photogrammetry and Remote Sensing
(ISPRS), pp. 12-23.
[16] Ai T., Li Z., Liu Y., (2004) “Progressive
Transmission of Vector Data Based on Changes
Accumulation Model”, 11th International Symposium
on Spatial Data Handling, pp. 85-96.
[17] Canny J., (1986) “A Computational Approach
to Edge Detection”, IEEE Trans. Pattern Analysis and
Machine Intelligence, Vol. 8, No. 6, pp. 679-714.
[18] Otsu N., (1979) “A threshold selection method
from gray level histograms,” IEEE Transactions on
Systems, Man, and Cybernetics, Vol. 9, No. 1, pp. 62-
66.
[19] Eken S., SayarA., (2011) “Vector Modeling of
Island Satellite Images for Spatial Databases”,Proc. of
International Science and Technology Conference.
(ISTEC 11), pp. 25-30
[20] http://ws.apache.org/axis/ (accessed 24 May.
2012).

Thank you for copying data from http://www.arastirmax.com