Research On Multi-sensor Integration And Time-space Registration Method For Forest Parameter Monitoring

In view of the urgent need for forestry information collection and forest resource monitoring,the development of multi-sensor integration and its carrying technology such as 3D laser scanning,CCD stereo measurement and forest health detection,using multi-source acquisition data to construct forest tree parameter change monitoring technology system to form mobile forest parameters Dynamic monitoring of key technology platforms and demonstrations to achieve dynamic monitoring of forest parameters(forest DBH,tree height,crown width,stand closure,forest biomass,etc.),to promote the development of forestry information digitization and accurate operation Chemical and scientific management to provide technical and data support for dynamic monitoring of forest resources in large regions.This paper firstly analyzes and analyzes the current technical development of forestry informatization collection.According to the current demand for forestry informatization collection,this paper proposes a technology that combines the characteristics of embedded systems,integrates multiple sensors to monitor forest parameters,and develops a set.Forest tree parameter monitoring multi-sensor integrated system.Secondly,the embedded system is the core of the multi-sensor integrated system platform for forest parameter monitoring.This paper designs and implements the hardware part and the software part of the system,and describes the method and process of the system implementation in detail.In terms of hardware,the high-performance ARM9 S3C2440A is used as the processor to optimize the interface driver circuit and dynamic power management,thus reducing the system power consumption,designing the camera exposure control system,effectively improving the camera exposure accuracy,and introducing the GPS time system from the computer system.The clock and GPS clocks acquire the time reference,realize the unified time reference of the heterogeneous data,and improve the multi-sensor time registration accuracy.In terms of software,Linux is used as a software development platform to design a multi-sensor integrated system,which effectively reduces power consumption through kernel cutting and dynamic voltage management.The application program is developed by Qt,which reduces the complexity of system operation and realizes man-machine.Friendly interface.Finally,the experimental verification of the forest monitoring multi-sensor integrated system was carried out.The system verification shows that the forestry detection multi-sensor integrated system developed in this paper can realize the synchronous acquisition of point cloud data and image data of forest trees,and realize the time uniformity of heterogeneous data,and combine the binocular vision technology to improve the forest point.Time-space registration accuracy of cloud data and image data.