We obtained 3 high-quality peripapillary and macular images in a raster pattern covering a 6 × 6 mm2 area with a scan density of 512 × 128 pixels in approximately 2.5 s (27,000 A scans/sec). The voxel size was 11.7 × 46.9 × 3.5 µm3 (horizontal x ...
J., Pagneux, V., Maurel, A. & Petitjeans, P. Experimental study on water-wave trapped modes. J. Fluid Mech. 666, 445–476 (2011). Article Google Scholar Pagneux, V. in Dynamic Localization Phenomena in Elasticity, Acoustics and Electromagnetism (eds Craster, R. & Kaplunov, J. )...
This function takes a mosaic dataset, a multidimensional raster, or a list of images as an input and calculates a “best” pixel by minimizing the distance to all of the overlapping pixels in spectral space. It reduces the contribution of outlier pixels while preserving the spectral relationship ...
into LiDAR metrics which statistically aggregate the 3D point cloud information within spatial units such as raster cells (Bakx et al., 2019, Davies and Asner, 2014, Meijer et al., 2020). These LiDAR metrics can quantify vegetation height (e.g. maximum z values within a cell) or vertical...
ArcGIS Pro contains tools and raster functions that work with imagery and raster data. Regardless of whether pixel-based data is an image from a satellite, a drone or aerial sensor, a raster dataset, or a DEM, there are many ways that you can work with this data when performing analysis....
Miami InSAR time-series software in Python. Contribute to insarlab/MintPy development by creating an account on GitHub.
The authors declare that all raster data related to the historical photogrammetric outputs (Orthophotos and DSMs) created during this work and used for the horizontal and vertical measurements are publicly available in the zenodo repository: https://zenodo.org/records/10621575 (https://doi.org/10.5...
Island faunas can be characterized by gigantism in small animals and dwarfism in large animals, but the extent to which this so-called ‘island rule’ provides a general explanation for evolutionary trajectories on islands remains contentious. Here we us
It was transformed from vector data into a raster data structure using the “polygon to raster” tool from the GIS tools. The “raster to point” tool was used to create point data at 1 km intervals. From another data source, Open Street Map (OSM), data for platform products, distance ...
The raster images are used to train a convolutional-based autoencoder. Finally, the encoder network is used to embed each building footprint into a four-dimensional vector. Figure 3. The flowchart of footprint feature embedding. POI data have been widely used to measure urban vibrancy and ...