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Master/Paper of the Week84

July.2021 Week-1 Bark recognition using novel rotationally invariant multispectral textural features Tree species identification based on the fusion of bark and leaves 2022. 5. 7.
June.2021 Week-4 Bark Classification of Trees Using K-Nearest Neighbor & Nearest Neighbor Algorithms Deep Learning for Plant Identification in Natural Environment Patch-based CNN evaluation for bark classification 2022. 5. 7.
June.2021 Week-3 Fully Convolutional Networks for Semantic Segmentation Minimizing Labeling Effort for Tree Skeleton Segmentation using an Automated Iterative Training Methodology U-Net: Convolutional Networks for Biomedical Image Segmentation 2022. 5. 7.
June.2021 Week-2 Challenges of urban green space management in the face of using inadequate data Mapping Urban Green Infrastructure: A Novel Landscape-Based Approach to Incorporating Land Use and Land Cover in the Mapping of Human-Dominated Systems Using Google Earth Engine to detect land cover change: Singapore as a use case 2022. 5. 7.
June.2021 Week-1 Urban Tree Species Identification and Carbon Stock Mapping for Urban Green Planning and Management An End-to-End Deep Fusion Model for Mapping Forests at Tree Species Levels with High Spatial Resolution Satellite Imagery Crop type mapping by using transfer learning 2022. 5. 7.
May.2021 Week-5 Discriminating tree species at different taxonomic levels using multi-temporal WorldView-3 imagery in Washington D.C., USA Mapping species in tropical seasonal semi-deciduous forests with tree hyperspectral and multispectral data Weakly Supervised Deep Learning for Segmentation of Remote Sensing Imagery 2022. 5. 7.
May.2021 Week-4 Assessing the performance of a citizen science project for monitoring urban woody plant species diversity in China Evaluating the Potential of WorldView-2 Data to Classify Tree Species and Different Levels of Ash Mortality Retrieving Forest Inventory Variables with Terrestrial Laser Scanning (TLS) in Urban Heterogeneous Forest 2022. 5. 7.
May.2021 Week-3 A Density-Based Algorithm for the Detection of Individual Trees from LiDAR Data Extracting individual trees from lidar point clouds using treeseg Leaf and wood classification framework for terrestrial LiDAR point clouds 2022. 5. 7.
May.2021 Week-2 Comparison of Topographic Correction Methods Effects of atmospheric correction and pansharpening on LULC classification accuracy using WorldView-2 imagery The effect of atmospheric and topographic correction methods on land cover classification accuracy 2022. 5. 7.
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