Results 31 to 40 of about 944,285 (292)
TREE STRUCTURE DATA CHANGE DETECTION METHOD
The new method, increasing efficiency and reliability of change detection in three structures in the Internet data under indetermination of data structure (DTD, XML-Schema) is proposed in this paper. The Boolean linear programming problem was solved in two exact methods – modified Balazs with filter and modified DP method and A modified method for ...
Molchanov, Yuriy +2 more
openaire +3 more sources
The use of new and modern sensors in forest inventory has become increasingly efficient. Nevertheless, the majority of forest inventory data are still collected manually, as part of field surveys.
Christoph Gollob +2 more
doaj +1 more source
Using unmanned aerial vehicles (UAV) as platforms for light detection and ranging (LiDAR) sensors offers the efficient operation and advantages of active remote sensing; hence, UAV-LiDAR plays an important role in forest resource investigations. However,
Kaisen Ma +7 more
doaj +1 more source
Causality and Temporal Dependencies in the Design of Fault Management Systems [PDF]
Reasoning about causes and effects naturally arises in the engineering of safety-critical systems. A classical example is Fault Tree Analysis, a deductive technique used for system safety assessment, whereby an undesired state is reduced to the set of ...
Bozzano, Marco
core +2 more sources
Plant ecosystems face primary threats from biological invasions in combination with microbial pathogens whose main threats derive from fungal pathogens.
Kainat +3 more
doaj +1 more source
Out-sphere decoder for non-coherent ML SIMO detection and its expected complexity [PDF]
In multi-antenna communication systems, channel information is often not known at the receiver. To fully exploit the bandwidth resources of the system and ensure the practical feasibility of the receiver, the channel parameters are often estimated ...
Hassibi, B., Stojnic, M.
core +1 more source
The present study proposes a technique for automated tree crown detection and segmentation in digital images derived from unmanned aerial vehicles (UAVs) using a machine learning (ML) algorithm named Detectron2.
Loukas Kouvaras, George P. Petropoulos
doaj +1 more source
AUTOMATIC SEGMENTATION OF TREE CROWNS IN PINE FORESTS USING MASK R-CNN ON RGB IMAGERY FROM UAVS [PDF]
This article presents the results of applying an improved method for automatic segmentation of RGB imagery (orthophotos) obtained using consumer-grade unmanned aerial vehicles (UAVs) based on the Mask R-CNN neural network. Preparation and post-processing
А. D. Nikitina
doaj +1 more source
Three-dimensional light detection and ranging (LiDAR) point clouds acquired from unmanned aerial vehicles (UAVs) represent a relatively new type of remotely sensed data.
Karel Kuželka +2 more
doaj +1 more source
Automatic tree identification and position using high-resolution remote sensing images are critical for ecological garden planning, management, and large-scale environmental quality detection.
Yueyuan Zheng, Gang Wu
doaj +1 more source

