1. Voting based tree detection from satellite images
- Author
-
Dilara Hisar, Cem Unsalan, Yetkin Sayar, Abdullah H. Ozcan, Özcan, A.H., Sayar, Y., Hisar, D., Ünsalan, Cem, Yeditepe Üniversitesi, Ozcan, LH, Sayar, Y, Hisar, D, and Unsalan, C
- Subjects
010504 meteorology & atmospheric sciences ,Cover (telecommunications) ,Computer science ,media_common.quotation_subject ,0211 other engineering and technologies ,02 engineering and technology ,Vegetation ,shadow detection ,01 natural sciences ,Grayscale ,Tree (data structure) ,voting ,Voting ,Satellite ,Tree detection ,satellite images ,021101 geological & geomatics engineering ,0105 earth and related environmental sciences ,Remote sensing ,media_common - Abstract
As satellite images cover wide areas and obtaining them has become easier, using these images in agriculture has become an important research area. Especially, satellite images can be used in seasonal crop estimation. Obtaining the number of trees in a region, with the size of each tree, gives the approximate amount of crop that can be harvested from that region. In this study, we propose a voting based method on grayscale satellite images. To test the proposed method, we picked eight satellite images containing 2668 trees. We summarized the obtained results in this study. © 2016 IEEE. 24th Signal Processing and Communication Application Conference, SIU 2016 -- 16 May 2016 through 19 May 2016 -- -- 122605
- Published
- 2016
- Full Text
- View/download PDF