DEAD WOOD DETECTION BASED ON SEMANTIC SEGMENTATION OF VHR AERIAL CIR IMAGERY USING OPTIMIZED FCN-DENSENET

16 citations as recorded by crossref.

1. Densely multiscale framework for segmentation of high resolution remote sensing imagery I. Bello et al.
2. UAS Imagery-Based Mapping of Coarse Wood Debris in a Natural Deciduous Forest in Central Germany (Hainich National Park) C. Thiel et al.
3. Automatic resin duct detection and measurement from wood core images using convolutional neural networks A. Fabijańska & G. Cahalan
4. Detection of Standing Deadwood from Aerial Imagery Products: Two Methods for Addressing the Bare Ground Misclassification Issue K. Zielewska-Büttner et al.
5. Deep learning for forest inventory and planning: a critical review on the remote sensing approaches so far and prospects for further applications A. Hamedianfar et al.
6. Detection of Large Woody Debris in Braided-Rivers RGB-UAV Dataset: A Comparative Study Q. Han et al.
7. Early Detection of Bark Beetle Attack Using Remote Sensing and Machine Learning: A Review S. Marvasti-Zadeh et al.
8. Self-Adaptive-Filling Deep Convolutional Neural Network Classification Method for Mountain Vegetation Type Based on High Spatial Resolution Aerial Images S. Li et al.
9. Deep Learning-Based Automated Forest Health Diagnosis From Aerial Images C. Chiang et al.
10. Accurate Mapping of Downed Deadwood in a Dense Deciduous Forest Using UAV-SfM Data and Deep Learning S. Dietenberger et al.
11. Review on Convolutional Neural Networks (CNN) in vegetation remote sensing T. Kattenborn et al.
12. Identification of standing dead trees in Robinia pseudoacacia plantations across China’s Loess Plateau using multiple deep learning models L. Zhang et al.
13. Vision Transformer-Based Unhealthy Tree Crown Detection in Mixed Northeastern US Forests and Evaluation of Annotation Uncertainty D. Joshi & C. Witharana
14. Detection of Trees on Street-View Images Using a Convolutional Neural Network D. Jodas et al.
15. Review on the Possibilities of Mapping Old-Growth Temperate Forests by Remote Sensing in Europe M. Hirschmugl et al.
16. Evaluating superpixel algorithms for standing dead tree delineation using aerial orthoimagery I. Pawelec et al.