Team project in subject Random Signals and Processes @ Faculty of Electrical Engineering and Computing, University of Zagreb (https://www.fer.unizg.hr/en/course/rsap_a)
Team members: Marko Čavužić, Ivan Sinković, Josip Preglej, Dino Cindrić
Object Detection and Counting From Satellite Images
- Noise and artifacts removal from raw images
- Color-to-grayscale conversion, image sharpening
- Image segmentation
- Object counting
- Result analysis and project report writing
- Project presentation
| Team Member | Task |
|---|---|
| Dino Cindrić | Project organization, Noise and artifacts removal, Color-to-grayscale conversion, Image sharpening |
| Marko Čavužić | Image segmentation |
| Ivan Sinković | Object counting |
| Josip Preglej | Report writing, Project presentation |
The main goal of the project is the implement and develop a working method for detection and counting of objects from satellite images using MATLAB.
- [1] A. Khan, U. Khan, M. Waleed, A. Khan, T. Kamal, S.N. Khan Marwat, M. Maqsood, F. Aadil: "Remote Sensing: An Automated Methodology for Olive Tree Detection and Counting in Satellite Images", 2018. IEEE Access, https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8558485