Benchmarking Anchor-Based and Anchor-Free State-of-the-Art Deep Learning Methods for Individual Tree Detection in RGB High-Resolution Images

Benchmarking Anchor-Based and Anchor-Free State-of-the-Art Deep Learning Methods for Individual Tree Detection in RGB High-Resolution Images

Urban forests contribute to maintaining livability and increase the resilience of cities in the face of population growth and climate change. Information about the geographical distribution of individual trees is essential for the proper management of these systems. RGB high-resolution aerial images...

Full description

Bibliographic Details
Main Authors: Pedro Zamboni, José Marcato Junior, Jonathan de Andrade Silva, Gabriela Takahashi Miyoshi, Edson Takashi Matsubara, Keiller Nogueira, Wesley Nunes Gonçalves
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Remote Sensing
Subjects:
object detection
convolutional neural network
remote sensing
Online Access:https://www.mdpi.com/2072-4292/13/13/2482

Internet

https://www.mdpi.com/2072-4292/13/13/2482

Similar Items