Space tools is a software suite developed by Spacesium that is a powerful set of techniques that enable users to classify 3D point cloud data, encompassing a robust set of techniques tailored for the classification of 3D point cloud data. This suite serves as a framework, laying the groundwork for enhancing the intrinsic value of spatial data through the seamless extraction of significant information within the realm of Geographic Information Systems (GIS).
The suite's prowess lies in its ability to intricately categorize and classify the vast and intricate datasets inherent in 3D point clouds. Leveraging sophisticated algorithms and methodologies, Space Tools empowers users with the means to discern and categorize spatial information with a high degree of precision and accuracy. This classification process is pivotal as it sets the stage for extracting pertinent insights and knowledge from the voluminous data contained within GIS.
By employing Space Tools, users can navigate through the intricate landscape of 3D point cloud data, discerning distinct features, structures, and patterns. The software suite facilitates a comprehensive analysis, allowing for the extraction of meaningful information that contributes to informed decision-making and strategic planning within the context of GIS applications.
In essence, Space Tools not only represents a technological breakthrough in 3D point cloud data classification but also stands as a catalyst for unlocking the full potential of GIS data, enriching it with actionable insights and paving the way for more nuanced and informed spatial analyses.
These toolsets can be found when creating a New Project and selecting Point Cloud.
We have used our industry experience to develop software to automatically process and classify point clouds.
Using the Survey Type gallery, you can select the method used to capture the scan.
Area Type
Area type is another method we have developed to assist in classifying the data. This method allows you to categorize different areas based on their specific characteristics.