DETECTION AND COUNTING OF ORCHARD TREES FROM VHR IMAGES USING A GEOMETRICAL-OPTICAL MODEL AND MARKED TEMPLATE MATCHING

7 citations as recorded by crossref.

1. UAV-Based Computer Vision System for Orchard Apple Tree Detection and Health Assessment H. Jemaa et al. https://doi.org/10.3390/rs15143558
2. Assessment of Tree Detection Methods in Multispectral Aerial Images D. Pulido et al. https://doi.org/10.3390/rs12152379
3. Apple orchard inventory with a LiDAR equipped unmanned aerial system E. Hadas et al. https://doi.org/10.1016/j.jag.2019.101911
4. Mapping the Individual Trees in Urban Orchards by Incorporating Volunteered Geographic Information and Very High Resolution Optical Remotely Sensed Data: A Template Matching-Based Approach H. Vahidi et al. https://doi.org/10.3390/rs10071134
5. A Review on Remote Sensing-based Method for Tree Detection and Delineation S. Syed Hanapi et al. https://doi.org/10.1088/1757-899X/705/1/012024
6. MangiSpectra: A Multivariate Phenological Analysis Framework Leveraging UAV Imagery and LSTM for Tree Health and Yield Estimation in Mango Orchards M. Afsar et al. https://doi.org/10.3390/rs17040703
7. Relationship of Date Palm Tree Density to Dubas Bug Ommatissus lybicus Infestation in Omani Orchards R. Al Shidi et al. https://doi.org/10.3390/agriculture8050064