A STUDY OF USING FULLY CONVOLUTIONAL NETWORK FOR TREETOP DETECTION ON REMOTE SENSING DATA

6 citations as recorded by crossref.

1. Assessment of Tree Detection Methods in Multispectral Aerial Images D. Pulido et al.
2. Image to attribute model for trees (ITAM-T): individual tree detection and classification in Alberta boreal forest for wildland fire fuel characterization L. Bennett et al.
3. Metamodel-Based Reliability Analysis in Spatially Variable Soils Using Convolutional Neural Networks Z. Wang et al.
4. UAV Photogrammetry for Estimating Stand Parameters of an Old Japanese Larch Plantation Using Different Filtering Methods at Two Flight Altitudes J. Karthigesu et al.
5. Detection of Standing Dead Trees after Pine Wilt Disease Outbreak with Airborne Remote Sensing Imagery by Multi-Scale Spatial Attention Deep Learning and Gaussian Kernel Approach Z. Han et al.
6. Slope reliability analysis using Bayesian optimized convolutional neural networks H. Lin et al.