Company Filing History:
Years Active: 2017-2020
Title: Chris Mangold: Innovator in Geospatial Image Analysis
Introduction
Chris Mangold is a notable inventor based in Union Bridge, MD (US). He has made significant contributions to the field of geospatial image analysis, holding a total of 4 patents. His work focuses on utilizing deep learning models to enhance the detection and analysis of geospatial objects.
Latest Patents
One of Chris Mangold's latest patents is titled "Broad area geospatial object detection using autogenerated deep learning models." This innovative system is designed for automated geospatial image analysis. It comprises a deep learning model that receives orthorectified geospatial images, which are pre-labeled to demarcate objects of interest. The module presents marked geospatial images alongside a second set of unmarked, optimized training geospatial images to a convolutional neural network. This iterative process allows the image analysis software module to detect multiple object types or categories. The software receives orthorectified geospatial images from one or more geospatial image caches. Utilizing a multi-scale sliding window submodule, the image analysis software scans the geospatial images, detects present objects, and geospatially locates them.
Career Highlights
Chris Mangold is currently employed at DigitalGlobe, Incorporated, where he continues to develop innovative solutions in geospatial technology. His expertise in deep learning and image analysis has positioned him as a key player in the industry.
Collaborations
Some of his notable coworkers include Adam Estrada and Andrew Jenkins, who contribute to the collaborative environment at DigitalGlobe.
Conclusion
Chris Mangold's work in geospatial image analysis exemplifies the intersection of technology and innovation. His patents reflect a commitment to advancing the capabilities of automated image analysis, making significant strides in the field.