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. 10.3390/rs12152379
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. 10.1080/01431161.2022.2048914
3. Metamodel-Based Reliability Analysis in Spatially Variable Soils Using Convolutional Neural Networks Z. Wang et al. 10.1061/(ASCE)GT.1943-5606.0002486
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. 10.3390/s23249907
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. 10.3390/rs14133075
6. Slope reliability analysis using Bayesian optimized convolutional neural networks H. Lin et al. 10.1108/EC-01-2022-0026