Specialists of KB "Panorama" have prepared a video tutorial demonstrating the stages of automatic image decryption using the "Panorama Vision" service within the GIS "Panorama" software. The material showcases the "Automatic Image Recognition" task, presenting the complete cycle of remote sensing data processing: from selecting the initial image to obtaining a ready-made vector map.

The solution enables the automatic recognition of objects on satellite and aerial photographs, as well as on data obtained from unmanned aerial vehicles. Processing is performed by transmitting a selected area to the specialized "Panorama Vision" service, where a neural network model performs analysis, segmentation, and vectorization of objects.

Special attention in the video tutorial is given to the application of the combined neural network model "City". This model ensures not only the recognition of individual objects but also their topological alignment, yielding more accurate and logically consistent results. During processing, buildings, road networks, and other urban infrastructure elements are automatically identified, followed by the formation of a coherent data structure.

An important advantage of the solution is its integration with the address database of GIS "Panorama". In the "City" mode, the system is not limited to geometric recognition — it automatically determines the address characteristics of objects. For buildings and streets, semantic parameters are filled in, including house numbers, street names, localities, and administrative units. This allows obtaining not just a map but a structured geoinformation database, ready for further analysis and use.

Additional capabilities demonstrated in the video tutorial include automatically placing labels on the map and applying advanced settings to improve object geometry accuracy and the quality of the resulting data. The user can flexibly manage processing parameters depending on the type of territory and the requirements for the result.

The presented technologies are particularly in demand when creating and updating digital city plans, conducting urban planning and cadastral work, monitoring territories, analyzing consequences of emergencies, as well as for solving tasks in defense and security sectors. "Panorama Vision" significantly reduces the labor costs of image processing, minimizes manual data entry, and enhances the accuracy and completeness of cartographic information.

The use of Panorama Vision within GIS "Panorama" ensures a transition from traditional manual vectorization to intelligent data processing, where the image is automatically transformed into a complete digital terrain model with semantics and address information.

You can familiarize yourself with the video material in the "Video Tutorials" section.

KB "Panorama" has developed GIS Panorama Mini version 15.4.2 for Astra Linux Special Edition, Alt Linux, RED OS, and Ubuntu. The new version improves the map printing dialog, adds new geoportal tile formats, enhances vector object topology editing, expands capabilities for configuring automatic explanatory labels for object properties on specialized maps, and implements font editing tools within the classifier.

Support for geoportals with tiles in PBF and GPKG formats (containing vector data, semantics, and metadata for various zoom levels) has been implemented. A multi-scale map is automatically created for layers from such geoportals. The system automatically assigns styles in the form of graphic primitives for each object type. Vector maps can be opened in the same project alongside vector maps, remote sensing data, databases, and geoportals operating via other protocols.

GIS now includes a new print dialog designed for comprehensive preparation of cartographic materials for output. The dialog provides selection of the print area, setting the required scale, configuring page layout and output parameters, as well as generating PDF and PostScript files. Extended color rendering modes are supported, including RGB, CMYK, and color separation, allowing the new tool to be used both for quick printing of working materials and for preparing cartographic products for print publishing. The implementation of a unified print dialog enhances usability, reduces parameter setup time, and expands capabilities for preparing materials for publication and mass printing.

When editing vector map objects in "Create Objects" and "Edit Point" modes, the "Capture Contour Point" operation now includes the ability to snap to the center of a segment. When capturing a contour node, a square marker appears on the screen; when capturing the center, a diamond-shaped marker appears. This method simplifies the placement of point and vector symbols on the contour of another object. The merging of area objects has been improved. Before merging, automatic contour preparation is performed: duplicate points are removed and adjacent contour segments are aligned, considering the position of the starting points of external contours relative to the contours of the object being attached. This procedure improves the reliability of merging overlapping objects.

The new version improves the mechanism for generating and displaying vector symbol labels. Labels can contain static text or be generated based on object semantics using references to the corresponding semantics. The ability to specify alternative semantics (used when the primary value is absent) has been implemented. Tools for customizing label formatting when displaying units of measurement have been expanded. Support is also provided for extracting individual attributes from composite semantics, including retrieving values from repeating semantic characteristics. These changes provide greater flexibility in configuring vector symbol labels and expand the capabilities for generating displayed data depending on the composition of the object's semantic characteristics.

The classifier editor now includes a font editing mode designed for configuring font parameters used in creating and maintaining digital classifiers. The tool allows setting basic font characteristics, including custom name and height, ensuring centralized management of the classifier's font set and simplifying their subsequent use when configuring the display of cartographic objects.

GIS Panorama Mini is a domestic geographic information system used for spatial data collection, database management, creation and updating of digital maps and plans, as well as development of information systems for various purposes. The program supports importing and viewing vector and raster maps, elevation matrices, TIN models, laser scanning data, as well as working with user maps and areas. Key functions include: creating maps with automatic parameter filling (EPSG/XML), exporting to SXF, DXF, and OGC GM formats, multi-user mode with access control via GIS Server, editing maps in different projections within the same document, integration with geoportals, and data printing with flexible settings. GIS is listed in the Unified Register of Russian Programs for Electronic Computers and Databases (registry entry No. 7226 dated 03.11.2020).

The new version is available for download in the Downloads section.

Geoportal "Bank of spatial data" has been supplemented with a map of the Volgograd region, formed according to OpenStreetMap data. To work with the map, you can use the GIS Panorama Mini program or other software products of KB "Panorama".

The map was led to the modernised classifier of large-scale plans of scale 1: 5 000 (map5000m). Publishing of updates in bank of spatial data is made by using the program of Databank of digital maps and remote sensing data. Publishing contents of bank of spatial data on the geoportal and data access for downloading are implemented by means of GIS WebServer SE.

Free maps on the basis of OpenStreetMap data are available for download on the page "Digital maps".

GIS "Panorama" supports the expansion of functionality through the development of user scripts in Python for solving applied spatial data processing tasks. However, using this mechanism was difficult for many users due to the need for programming skills. The new video tutorial demonstrates an approach that removes this limitation by using AI tools for script preparation, making automation more accessible to GIS professionals.

The video material examines the full cycle of solving an applied task: from formulating data processing requirements to creating a working automation scenario based on the MAPAPI interface of the "Panorama" core. Before starting, the environment must be configured: installing Python, the Cursor code editor, and GIS "Panorama". To solve applied tasks, the open MAPAPI repository on GitHub is recommended, containing code examples and supporting materials for creating custom spatial information processing scenarios. This approach allows transitioning from manual operations to building reproducible and scalable spatial information processing algorithms.

After configuring the environment, you need to open the project in Cursor, select an AI agent, and give it a prompt to write a Python script for a specific spatial data processing task. The user can formulate queries in natural language, after which the AI generates the basis of a software solution, which is then adapted to the specific project requirements and data composition. Scripts obtained in this way are then connected to GIS "Panorama" and executed. This makes working with Python more accessible, lowers the barrier to starting development, and allows faster practical results without lengthy manual writing of repetitive code.

GIS "Panorama" already includes a basic set of ready-made automation scenario examples. These scripts demonstrate typical spatial data processing tasks and can be used as a foundation for developing custom solutions. They include processing and editing objects (e.g., shifting objects, creating grids), working with coordinates and elevations from matrices, semantic analysis and processing, label generation, calculating areas and object characteristics, importing and exporting data, as well as spatial analysis tasks including thematic mapping based on Rosstat data and distance calculations along road graphs.

Ready-made examples are used to solve a wide range of practical tasks: from preparing cartographic materials and maintaining cadastral data to territory analysis, transport calculations, and automating the processing of large spatial data arrays. Using these scenarios allows users to quickly implement automation into their daily work and adapt solutions to their requirements.

The MAPAPI interface of the "Panorama" core provides a set of functions for working with spatial data. Combined with Python and AI tools, it creates a modern automation environment that expands user capabilities in solving applied tasks.

You can watch the video tutorial in the "Video Tutorials" section.

KB "Panorama" has developed GIS "Operator" version 15.4.2 for the "Astra Linux Special Edition" OS. The new version implements a unified map printing dialog with support for PDF, PostScript, and color separation, expands the protocols and data formats of connected geoportals. Support for topological relationships when editing vector maps has been improved, settings for generating explanatory labels of object properties on special maps have been supplemented, and the ability to edit fonts in the classifier has been added.

The program includes a new print dialog designed for comprehensive preparation of cartographic materials for output. The dialog provides selection of the print area, setting the required scale, configuring page-by-page sheet layout and print output parameters, as well as generating PDF and PostScript files. Extended color representation modes are supported, including RGB, CMYK, and color separation, allowing the new tool to be used both for operational printing of working materials and for preparing cartographic products for polygraphic publication. The implementation of a unified print dialog improves usability, reduces output parameter setup time, and expands the capabilities for preparing materials for publication and duplication.

Support for geoportals with tiles in pbf/gpkg format has been added, which contain vector information, semantics (attributes), and metadata for various display scale levels. A multi-scale map is created for layers from such geoportals. The task automatically assigns styles in the form of graphic primitives for each object type. Vector maps can be opened in the same project with vector maps, remote sensing data, databases, and geoportals operating under other protocols.

When editing vector map objects in the modes "Create Objects", "Create by Type", and "Edit Point", the ability to position at the center of a segment has been added for the "Capture Contour Point" operation. When capturing a contour node, a square marker appears on the screen; when capturing the center, a diamond-shaped marker appears. This method simplifies the placement of point and vector signs on the contour of another object. Area object merging has been improved. Before merging, automatic contour preparation is performed: removal of double points and alignment of adjacent contour segments considering the location of the starting points of external contours relative to the contours of the attached object. This procedure increases the reliability of merging objects that have area overlap.

In the new version, the mechanism for generating and displaying vector sign labels has been improved. A label can contain permanent text or be formed based on the semantic characteristics of the object using references to the corresponding semantics. The ability to specify alternative semantics used in the absence of the main value has been implemented. Tools for configuring the label format when displaying units of measurement have been expanded. Support for selecting individual attributes from composite semantics, including obtaining values from repeating semantic characteristics, is also provided. The changes made provide increased flexibility in configuring vector sign labels and expand the possibilities for generating displayed data depending on the composition of the object's semantic characteristics.

The classifier editor includes a font editing mode designed for configuring font design parameters used in creating and maintaining digital classifiers. The tool allows setting basic font characteristics, including custom name and height, ensuring centralized management of the classifier's font set and simplifying their subsequent application when configuring the display of cartographic objects.

GIS "Operator" SE is a universal domestic geographic information system for law enforcement agencies. The program is designed for accumulation, storage, automated processing, and display of data, calculation results, and forecasts that have geospatial reference. GIS "Operator" SE contains tools for displaying and processing vector, raster, and matrix maps. The application provides users with tools for solving specialized tasks such as modeling the movement of special objects against a 3D model background, forecasting the consequences of emergencies at hazardous facilities, monitoring aircraft movement, conducting geodetic and topographic works, processing data from GPS/GLONASS navigation devices, printing displayed spatial data on various output devices, and many others.

The new version of the program is available for download in the Download section.