We present a machine learning dataset for tree species classification in Sentinel-2 satellite image time series of bottom-of-atmosphere reflectance.It is geared towards training classifiers but is less suitable for validating the resulting maps.The dataset is based on the fp9550bk German National Forest Inventory of 2012 as well as analysis-ready s
This paper analyses the impact of the COVID-19 pandemic on the digitization process of the opera sector under the impact of the COVID-19 health crisis.Surviving in a time of humanitarian disaster was red pygmy dogwood a great challenge for opera houses, which faced new challenges.Most of the world’s opera houses survived this crisis, but in diffe
Recently, optical flow guided video saliency detection methods have achieved high performance.However, the computation cost of optical flow is usually expensive, which limits the applications of these methods in time-critical scenarios.In this article, we propose an end-to-end cross complementary network (CCNet) based on fully convolutional network
Road curb extraction is a critical component of road environment perception, being essential for calculating road geometry parameters and ensuring the safe navigation of autonomous vehicles.The existing research primarily focuses on extracting curbs from hellfire sloe gin ordered point clouds, which are constrained by their structure of point cloud