开云在线官网使用方法 - 开云在线

◇ Provides HBase and HDFS engines for large scale raster data.

◇ Provides Elasticsearch engines for streaming data.

◇ Supports customized extensible geospatial big data storage engine.

◇ Supports direct connection to Yukon (Yugong) and Neo4j graph databases for entity/relationship storage.

◇ Kernel level extended Spark geospatial data model.

◇ Supports 6 categories covering 200 kinds of geospatial big data analysis operator.

◇ Supports building entities and relationships based on structured data.

◇ Supports entity/relationship construction from structured data.

◇ Supports geospatially-enabled knowledge graph entities with map-view synchronization.

◇ Supports knowledge graph querying and analyse.

◇ Supports data lineage from processing automation workflows to graph databases for traceability and tracking.

◇ Integrated open source map development library (OpenLayers, Leaflet, MapboxGL JS) and visualization library (ECharts, MapV, DECK.GL).

◇ Provides 2D / 3D and dynamic / static visualization effects.

◇ Provides spatial big data visualization technologies such as scatter map, heat map, honeycomb map, grid map, trajectory map, O-D map, flow map, etc.

◇ Provides interactive knowledge graph visualization.

◇ Provides built-in spark clusters and external spark cluster.

◇ Supports Hadoop cluster YARN mode.

◇ Supports 4 Spark deployment modes: local (single-process), local (multi-process), client, and cluster.

◇ Supports processing of common satellite remote sensing data: GF-1/2/6/7, ZY-1 02C/02D/02E, ZY-3 01/02/03, BJ-2/3A/3N, JiLin-1, Sentinel-2, Landsat7/8/9, IKONOS, WordView, SPOT5, Pleiades-1, SuperView-1, SuperView Neo-1.

◇ Supports AI-based multi-source image matching models to enhance feature point quantity/quality in feature-poor regions like deserts, Gobi, etc.

◇ Supports AI-driven non-ground feature filtering to eliminate points on clouds/building roofs, improving geometric correction accuracy.

◇ Supports automatic ground control point matching for images with significant initial positional deviations, boosting automated processing success rates.

◇ Supports import of field-collected high-precision control points for high-quality DOM production under sparse control conditions.

◇ Supports incremental aerial triangulation adjustment to ensure multi-batch output accuracy consistency.

◇ Supports image registration capability to align multispectral imagery with corrected panchromatic references.

◇ Supports batch orthorectification with zonal output functionality.

◇ Supports orthorectification, correcting the position and geometric distortions of original images based on adjusted RPC parameters.

◇ Supports image fusion algorithms such as Gram-Schmit and Pansharp, enabling users to control the sharpening effects of image fusion.

◇ Supports color output, synchronously adjusting image bit-depth and band sequence, enhancing color representation and feature recognition in vegetated areas.

◇ Supports multiple color balancing methods like uniform balancing, color mapping, adaptive balancing for diverse scenario requirements.

◇ Provides auto mosaic line generation avoiding buildings/cloud zones while optimizing paths along features like roads/rivers.

◇ Supports output of result data in whole, standard subset, and polygonal clipping formats.

◇ Supports cloud removal by intelligently identifying cloud distribution for rapid cloud-free DOM production.

◇ Supports haze removal, automatically enhancing contrast by removing haze from images.

◇ Supports registration of generic geographic imagery using mathematical models like polynomial, thin-plate spline, RPC reverse calculation, etc.

◇ Supports point cloud generation by performing dense matching on stereo images, producing dense point cloud data. Includes built-in AI dense matching models to effectively reduce mismatches.

◇ Supports dense matching of stereo imagery to generate dense point cloud data.

◇ Provides AI-powered dense matching models reducing mismatches and void areas for more natural-looking DSMs with sharper contours.

◇ Supports automatic DSM generation.

◇ Supports DSM filtering with automatic DEM output

◇ Provides AI filtering models adapted to complex terrain, enhancing processing in mountainous/urban areas.

◇ Supports DSM merging, combining multiple tiles of data into a single DSM covering the entire area.

◇ Supports DSM water elevation correction by automatically adjusting water surface heights based on water vector data.

◇ Supports planar and seam accuracy checks, displaying inspection points through thematic maps for visual assessment of result accuracy.

◇ Supports regional accuracy checks, facilitating detailed zone inspection of entire images.

◇ Supports deformation detection, automatically extracting areas with terrain, road, and building deformations.

◇ Supports generic radiation calibration models.

◇ Supports the 6S atmospheric correction model.

◇ Supports atmospheric correction for satellite sensor data from GF-1/2/6/7, ZY-3 02, ZY-1 02D, Sentinel-2, Landsat8/9, etc.

◇ Supports image interpretation tasks including scene classification, change detection, object detection, binary classification, object extraction, and land cover classification across various scenarios. Supports image super-resolution reconstruction.

◇ Provides ready-to-use pre-trained models for typical scenes like forest, farmland, urban water bodies, and urban buildings.

◇ Supports Large Imagery Model (LIM) for high-precision land cover classification in remote sensing interpretation.

◇ Supports G-SAM for fine-grained image segmentation by incorporating semantic information through spatial cues.

◇ Supports 2D data models such as 2D points/lines/surfaces, 2D networks, irregular triangulation networks, grids, etc.

◇ Supports 3D volume data model, and supports boundary notation and parametric notation.

◇ Supports 3D network data model, and supports indoor, outdoor, and overground and underground 3D network analysis.

◇ Builds two types of 3D field data models: Irregular Tetrahedral Grid (TIM) and Voxel Grid, and supports temporal dimensions.

◇ Provides rich analysis and calculation functions for 3D surface data, 3D volume data, 3D field data, etc.

◇ Supports symbolic modeling, rule-based modeling, and parametric modeling, and supports rapid construction of large-scale 3D scenes based on vector data.

◇ Provides operational functions such as stretching, dimensionality reduction, voxelization to achieve mutual conversion between 2D and 3D data models.

◇ Added corridor modeling tools enabling rapid 3D utility tunnel model generation through aligned model placement.

◇ Added LOD 2.1 building model generation with authentic textures using building footprints and oblique photography models

◇ Fully integrates multi-source heterogeneous data such as oblique photography 3D models, laser point clouds, BIM, GIM, white architecture model data, high-precision city model data, 3D fields, geological bodies, terrain, underground pipelines, etc.

◇ Supports direct access to data that meets standards such as IFC, CityGML, Geo3DML, GIM, etc., and supports cross-platform direct import of IFC (Industry Foundation Classes) data and storing them as different data types based on their classifications.

◇ Fully supports BIM data and access multiple formats of BIM data produced by over 10 mainstream BIM software. Added support for cross-platform direct import of RVT (Revit) data and DGN (MicroStation) data, including importing native BIM family component tree information.

◇ Provides multiple distributed GPA tools to realize efficient full process management and spatial analysis of 3D data such as white architecture model data, high-precision city model data, BIM, oblique photography 3D model, point cloud, terrain, etc.

◇ Added incremental update support for oblique photography 3D models/BIM/fine models within arbitrary extents, enabling partial updates of BIM/fine models by business IDs.

◇ Supports the surveying and mapping industry standard Spatial 3D Model Tile Data Format (Surveying & Mapping Standards), Spatial 3D Model Data Format (S3M) and Spatial 3D Model Data Service Interface, along with providing corresponding open resources.

◇ Supports the sharing and interoperation for white architecture model data, high-precision city model data, oblique photography 3D model, point cloud, BIM, GIM, 2D/3D point/line/polygon data, 2D/3D topological network data, geological body, 3D field in multiple terminals.

◇ Supports S3M 1.0, S3M 2.0 and S3M 3.0 format.

◇ Added I3S 1.7-2.1 to S3M 3.0-3.01 conversion compliant with GitHub community standards.

◇ Added 3D Gaussian Splatting to S3M 3.01 conversion capability.

◇ Added multi-temporal S3M tile generation with multi-element multidimensional feature information.

◇ Desktop 3D Rendering Engine V2 adds volumetric clouds, height-based fog, and ambient occlusion technologies, enhancing scene immersion through realistic atmospheric and lighting effects.

◇ Provides proprietary WebGL/WebGPU clients and Cesium-based WebGL clients with full-data support, full functionality, high realism, and low-code development capabilities.

◇ Enhanced scene rendering in proprietary WebGL/WebGPU clients supports water refraction, flow direction arrows, high-fidelity water effects, volumetric clouds, height-based fog, and light beams.

◇ Proprietary WebGL/WebGPU clients add S3M tile feature-level editing like add/delete/scale/translate/rotate/replace objects.

Proprietary WebGL client achieves 25+ FPS loading for city-level fine/untextured/oblique models in domestic hardware/software environments.

◇ Provides a high fidelity 3D GIS development package based on UE4/UE5/Unity/HMS Core 3D Engine, and supportsdynamic loading of large-scale, multi-source 3D GIS data, as well as multiple 3D GIS analysis, query, and measurement.

◇ Provides 3D GIS data beautification tools to achieve high fidelity rendering of 3D scenes (UE4/UE5/Unity).

◇ Supports cloud rendering to web terminal, provides open source JavaScript APIs, and supports low code development (UE4/UE5/Unity).

◇ Supports multiple VR/AR/MR devices：Oculus Quest2, iphones, Microsoft HoloLens2, etc.

◇ Supports 3D printing.

◇ Provides 3D geographic design WebApp, supporting online batch modeling and interactive editing.

◇ Provides the iEarth WebApp for 3D Earth, supporting rapid setup of visual scenes, and enabling online browsing, querying, analysis, and sharing of scenes.

◇ Provides SuperMap iExplorer3D, and supports access to massive multi-source heterogeneous spatial data and high-fidelity 3D fields rendering.

◇ Supports 3D GIS cross platform.

◇ Supports distributed geospatial file system, including HDFS, DSF, etc.

◇ Supports distributed SQL geospatial database.

◇ Supports distributed NoSQL geospatial database, including MongoDB, Elasticsearch, HBase, etc.

◇ Provides kernel level extended Spark geospatial data model.

◇ Supports more than 200 kinds of distributed processing automation modeling tools.

◇ Provides more than 70 kinds of distributed geospatial analysis operators.

◇ Provides the high-performance distributed dynamic rendering capability.

◇ Realizes the full microservice of map, 3D, big data,AI and stream data functions.

◇ Supports docker deployment and provides rolling upgrade, elastic scaling and error recovery of GIS node.

◇ Provides general automatic layout based on Kubernetes, which can realize the real time monitoring of all microservice resources.

◇ Integrated service grid technology supports gray publish, access control, service measurement, and service tracking.

◇ Integrates serverless technology, and supports running spatial analysis tasks, geographic processing automation tasks, distributed image cutting tasks and 2D/3D tile distribution tasksin a Serverless GIS function mode.

◇ Supports the use and conversion of cloud native GIS data formats and tile formats such as FlatGeobuf and PMTiles.

◇ Provides edge GIS products to build cloud, edge and terminal integrated application system.

◇ Supports pre-proxy, service aggregation, data distribution and analysis processing of edge GIS.

◇ CPU, GPU, including AI chips.

◇ Linux, Windows, HarmonyOS, androids, ioses, etc.

◇ Relational type, NoSQL, etc.

◇ Cloud platform: public cloud, private cloud, etc.