Cape Analytics, Inc. (20240249518). SYSTEMS AND METHODS FOR ANALYZING REMOTE SENSING IMAGERY simplified abstract
Contents
SYSTEMS AND METHODS FOR ANALYZING REMOTE SENSING IMAGERY
Organization Name
Inventor(s)
Peter Lorenzen of Palo Alto CA (US)
SYSTEMS AND METHODS FOR ANALYZING REMOTE SENSING IMAGERY - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240249518 titled 'SYSTEMS AND METHODS FOR ANALYZING REMOTE SENSING IMAGERY
The patent application relates to systems and methods involving remote sensing, deep learning, and object detection.
- Machine learning is used for object detection, identifying classes of pixels in images and generating label images based on parameter sets.
- Machine learning is also utilized for geometry extraction, determining heights of regions and geometric object properties in images.
- Alignment is achieved through machine learning by aligning images using direct or indirect estimation of transformation parameters.
- Key Features and Innovation:**
- Integration of remote sensing, deep learning, and object detection technologies.
- Utilization of machine learning for object detection, geometry extraction, and alignment in images.
- Potential Applications:**
- Environmental monitoring
- Urban planning
- Infrastructure development
- Agricultural management
- Problems Solved:**
- Improved accuracy in object detection
- Enhanced geometric analysis of images
- Precise alignment of images for various applications
- Benefits:**
- Increased efficiency in image analysis
- Enhanced decision-making capabilities
- Improved data accuracy and reliability
- Commercial Applications:**
- Geospatial analysis software
- Autonomous vehicle technology
- Satellite imaging services
- Questions about Remote Sensing, Deep Learning, and Object Detection:**
1. How does machine learning improve object detection accuracy? 2. What are the potential applications of geometry extraction in image analysis?
- Frequently Updated Research:**
Ongoing research in the field of machine learning algorithms for improved object detection and image analysis techniques.
Original Abstract Submitted
disclosed systems and methods relate to remote sensing, deep learning, and object detection. some embodiments relate to machine learning for object detection, which includes, for example, identifying a class of pixel in a target image and generating a label image based on a parameter set. other embodiments relate to machine learning for geometry extraction, which includes, for example, determining heights of one or more regions in a target image and determining a geometric object property in a target image. yet other embodiments relate to machine learning for alignment, which includes, for example, aligning images via direct or indirect estimation of transformation parameters.
