Skip to Main Content
 

Global Search Box

 
 
 
 

Files

File List


Hessah_Albanwan_Thesis_2.pdf (28.91 MB)

ETD Abstract Container

Abstract Header

Remote Sensing Image Enhancement through Spatiotemporal Filtering

Albanwan, Hessah AMYM
http://rave.ohiolink.edu/etdc/view?acc_num=osu1492011122078055

Abstract Details

2017, Master of Science, Ohio State University, Civil Engineering.
The analysis of time-sequence satellite images is a powerful tool in remote sensing; it is used to explore the statics and dynamics of the surface of the earth. Usually, the quality of multitemporal images is influenced by metrological conditions, high reflectance of surfaces, illumination, and satellite sensor conditions. These negative influences may produce noises and different radiances and appearances between the images, which can affect the applications that process them. Thus, a spatiotemporal bilateral filter has been adopted in this research to enhance the quality of an image before using it in any application. The filter takes advantage of the temporal information provided by multi-temporal images and attempts to reduce the differences between them to improve transfer learning used in classification. The classification method used here is support vector machine (SVM). Three experiments were conducted in this research, two were on Landsat 8 images with low-medium resolution, and the third on high-resolution images of Planet satellite. The newly developed filter proved that it can enhance the accuracy of classification using transfer learning by about 5%,15% and 2% for the three experiments
Rongjun Qin (Advisor)
Alper Yilmaz (Committee Member)
Charles Toth (Committee Member)
118 p.
Civil Engineering
Spatiotemporal bilateral filter; Land cover and Land use; Classification; Support Vector Machine SVM; Transfer learning

Recommended Citations

Citations

  • Albanwan, H. A. (2017). Remote Sensing Image Enhancement through Spatiotemporal Filtering [Master's thesis, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1492011122078055

    APA Style (7th edition)

  • Albanwan, Hessah. Remote Sensing Image Enhancement through Spatiotemporal Filtering. 2017. Ohio State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1492011122078055.

    MLA Style (8th edition)

  • Albanwan, Hessah. "Remote Sensing Image Enhancement through Spatiotemporal Filtering." Master's thesis, Ohio State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=osu1492011122078055

    Chicago Manual of Style (17th edition)

osu1492011122078055
256
© 2017, all rights reserved.
This open access ETD is published by The Ohio State University and OhioLINK.