Overview

AI GIS is the integration of AI and GIS. It includes the following features:
1) Combines GeoAI and relevant process tools.
2) Management, visualization and analysis of GeoAI results based on GIS.
3) Promotion and optimization of UI experience, operation and maintenance efficiency and other GIS software functions based on AI.

Highlights

Improves AI GIS function of all products
  • Improves server machine learning service, and newly supports various geospatial machine learning functions, such as gradient boosting tree classification.
  • New desktop image sample management tool, and face coding and license plate coding.
  • New geospatial machine learning function, like component gradient lifting tree classification, and new deep learning model, like Cascade R-CNN.
  • Improves mobile AI+AR analysis, AI attribute acquisition, AI mapping, etc.

Improves AI GIS work-flow tools
  • New workflow tools, like image sample management for data preparation.
  • New post-processing tools for image analysis and reasoning results, like polygon aggregation and building regularization.

Improves geospatial sampling and statistical inference function
  • Supports simple random sampling, systematic sampling and stratified sampling.
  • Supports geospatial random sampling, geospatial stratified sampling and sandwich sampling.
  • Spports SPA model and B-Shade model.

Supports various geospatial machine learning functions
  • Cluster analysis: supports geospatial hotspot analysis, geospatial density clustering, etc.
  • Classification analysis: map matching, address element identification, forest-based classification, etc.
  • Regression analysis: geosimulation, geographically weighted regression, forest-based regression, etc.

Supports various deep learning model
  • Image analysis target detection: Cascade R-CNN、Faster R-CNN.
  • Image analysis ground-object classification: FPN, DeepLab V3+.
  • Image target detection: Cascade R-CNN、Faster R-CNN.

Upgrades deep learning framework
  • Upgrades TensorFlow framework from version 1.14 to 2.1 and Pytorch framework from version 1.2.0 to 1.8.1.
  • New PaddlePaddle framework.

Improves mobile AI
  • Improves AI attribute acquisition, AI mapping and mobile AI+AR analysis.
  • Supports geo-fencing, speed limit analysis and video segmentation.