Publication details
Authors: O. M. Alegbeleye, A. J. H. Meddens, Y. O. Rotimi, K. G. Ibeh
Venue: Remote Sensing Applications: Society and Environment
Volume/issue: 41
Article number: 101818
DOI: 10.1016/j.rsase.2025.101818
Summary
A comparison of deep-learning detectors using high-resolution aerial imagery, culminating in PTCNet and an urban tree inventory for Pullman, Washington.
remote sensingdeep learningurban forestrytree crown detectionaerial imagerygeospatial analysis