In SuperMap GIS 2024, SuperMap Software has further innovated the six major technical systems of GIS platform software (BRT-IDC), namely Big Data GIS, New Remote Sensing Software, New Three Dimension GIS, Geospatial AI, Distributed GIS, and Cross Platform GIS technology systems.
SuperMap GIS 2024 Technology Systems (BRT-IDC)
The new remote sensing software technology system integrates internationally leading photogrammetry core algorithms, breaking through intelligent technologies such as the pre-trained large imagery model (LIM). It covers the full process capabilities of remote sensing image data storage management, production processing, interpretation and analysis, and visualization. This framework pioneers advancements in distributed high-performance computing, integrated remote sensing & GIS processing, cross-platform software compatibility, intelligent processing/interpretation, cloud-native architecture transformation and web-based interoperability. Through algorithm optimization and technical integration, it significantly enhances remote sensing image processing efficiency, interpretation accuracy and T+1 rapid application of data products.
New Remote Sensing Technology System
◇ 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.
