Evaluating the capability of satellite images in Recording the thematic information: With a focus on the SPOT5 Satellite images

International Journal of Geoinformatics and Geological Science

© 2015 by SSRG - IJGGS Journal

Volume 2 Issue 1

Year of Publication : 2015

Authors : Ali Dadashzade, Soulmaz Dadashzade, Salam Adhami

10.14445/23939206/IJGGS-V2I1P102

How to Cite?

Ali Dadashzade, Soulmaz Dadashzade, Salam Adhami, "Evaluating the capability of satellite images in Recording the thematic information: With a focus on the SPOT5 Satellite images," SSRG International Journal of Geoinformatics and Geological Science, vol. 2,  no. 1, pp. 9-13, 2015. Crossref, https://doi.org/10.14445/23939206/IJGGS-V2I1P102

Abstract:

In a cooperative program, France, Belgium and Switzerland launched the SPOT Satellite with two HRV image capturing systems in1986. Having 3000 multi-spectrum detectors and 6000 panchromatic detectors, the SPOT5 received images without requiring mechanical scanning. Moreover, having efficient time for scanning enables these detectors to have a high resolution power per each pixel. In the panchromatic status, the energy reflected from the earth between wavelength ranges of 0/48 – 0/71 and 0/49- 0/69 micrometer are recorded by HRG and HRS sensors, respectively. Another advantage of SPOT lies in its significant visibility which is normally observed in the common coverage area of adjacent images. In this research we study the ability of SPOT5 Satellite images in recording thematic information. Analyzing Remote Sensing data and extracting instrumental thematic information from SPOT5 images are possible. Multi-spectrum classification is one of the most common approaches used for extracting information. The multi-spectrum classification approach puts its basis on this assumption that an image from a specific area has reflections from various parts of an electromagnetic spectrum. Also this image is completely Georeferenced. The majority of information extraction techniques focus on analyzing the spectral features of such images. Numerous spatial algorithms have been designed to perform such spectral analyses. The current study implements a number of theses algorithms on images and represents the results.

Keywords:

Satellite images, classification algorithms, SPOT5, image processing.

References:

1. Bektas.F (2002), "Remote sensing and gis integration for land cover analysis", civil Engineering Faculty, Turkey, Istanbul.
2. Buiten, H. j and Clevers, J.G.P.W (1993),"Land Observation by remote sensing, Theory and Applications", Gordon and breach Science Publishers, Australia.
3. Gharagozlo, A. (2004). Modeling for enviromental and urban uses planning through applying GIS and RS. Proceedings of the International Aerospace Organization of Iran. Tehran.
4. Ahadnezhad, M.  (2000). Analysis and modeling land use changes by applying multi-temporal and GIS satellite images. MA dissertation. Tarbiat Modarres University: Tehran.
5. Karimi Ashtiani, M. (1999). Merging TM and SPOT images through applying wavelet transformation (Zone 7 of Tehran). MA dissertation. Tarbiat modarres University: Tehran.
6. Tajoddin Karami Kord, A. (2000).  Land use optimal modeling in Khorram Abad through telemetry and geographical information systems, MA dissertation. Tarbiat Modarres University: Tehran.