| _version_ | 1866901950902042624 |
|---|---|
| author | Kush Ise Abhiraj Deshpande Roshan Bahiram Satyam Singh |
| author_facet | Kush Ise Abhiraj Deshpande Roshan Bahiram Satyam Singh |
| contents | In this paper we propose a supervised machine learning algorithm for calculating tree count and tracking palms in high resolution images. CNN image classifier trained on a set of images of palms and not-palm images are applied to the image by using algorithm of sliding window. The resulting consistency map is smoothened by a filter uniformly. Suppression which is non maximum is applied to the smoothened consistency map from which peaks are obtained. Trained with the images of palm trees the system manages to reach the number of trees. |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18335445 |
| institution | Zenodo |
| language | |
| publishDate | 2023 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Tree Counting and Detection Automation Using CNN Kush Ise Abhiraj Deshpande Roshan Bahiram Satyam Singh CNN Palm tree counting Image Processing In this paper we propose a supervised machine learning algorithm for calculating tree count and tracking palms in high resolution images. CNN image classifier trained on a set of images of palms and not-palm images are applied to the image by using algorithm of sliding window. The resulting consistency map is smoothened by a filter uniformly. Suppression which is non maximum is applied to the smoothened consistency map from which peaks are obtained. Trained with the images of palm trees the system manages to reach the number of trees. |
| title | Tree Counting and Detection Automation Using CNN |
| topic | CNN Palm tree counting Image Processing |
| url | https://doi.org/10.5281/zenodo.18335445 |