Aerial Image Subset Screening for Reliable Geospatial Processing
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Solution Overview
Problem
Existing systems struggle to process third-party geospatial aerial images with varying attributes such as resolution, image quality, coverage, and weather conditions, leading to system failures and resource wastage.
Innovation Solution
An apparatus and method that assesses geospatial aerial images by determining attributes like resolution, coverage, clarity, and gap/overlap within a selected bounding zone, using a scoring system to accept or reject subsets for image processing based on predefined thresholds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If third-party geospatial aerial images with varying attributes are processed directly, then image coverage and data quantity increase, but system reliability deteriorates due to processing failures
Solution Approach 1:
The patent applies preliminary action by assessing image attributes (resolution, clarity, coverage, gap/overlap) before processing the geospatial aerial images. The system evaluates multiple attributes and generates scores to determine whether images meet quality thresholds, preventing processing failures before they occur.
Solution Approach 2:
The system implements feedback by comparing assessed attribute values against predefined thresholds and adjusting image selection accordingly. The scoring mechanism provides feedback on image quality, enabling the system to accept or reject images based on whether they meet minimum quality standards for reliable processing.
2Loss of information
If all received geospatial aerial images are processed, then data completeness improves, but resource utilization deteriorates due to processing low-quality images
Solution Approach 1:
The patent applies taking out by extracting only the high-quality images that meet predefined attribute thresholds from the complete set of received images. The system assesses each image's attributes and selectively processes only those that satisfy quality requirements, excluding low-quality images from further processing.
Solution Approach 2:
The system applies parameter changes by establishing minimum threshold values for critical attributes (resolution, clarity, coverage, gap/overlap). Images are processed only if their attribute parameters meet or exceed these thresholds, transforming the selection criterion from processing all images to processing only those meeting specific parameter requirements.
3Productivity
If image processing is performed without attribute assessment, then processing speed increases, but manufacturing precision deteriorates due to variable image quality
Solution Approach 1:
The patent applies preliminary action by performing attribute assessment (resolution, clarity, coverage, gap/overlap) before the actual image processing step. This preliminary evaluation ensures that only images meeting quality standards are processed, guaranteeing processing precision while maintaining efficiency through automated threshold-based selection.
4Manufacturing precision
If attribute assessment and scoring system are implemented, then image processing quality improves, but device complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the image assessment process into distinct attribute evaluations (resolution, clarity, coverage, gap/overlap). Each attribute is assessed independently and scored separately, then combined to determine overall image suitability. This modular approach manages system complexity by breaking down the assessment into manageable components.
Data Source
AI summary
An apparatus, method and computer program product are provided for assessing geospatial aerial images for image processing. In one example, the apparatus receives a plurality of geospatial aerial images, where each of the plurality of geospatial aerial image data represents a zone within a map. The apparatus selects a bounding zone within the map for image processing and, in response to the bounding zone including a subset of the plurality of geospatial aerial images, the apparatus accepts or rejects the subset for the image processing based on one or more attributes of the subset. The one or more attributes is a resolution of each of the subset, an amount of area within the bounding zone covered by the subset, a clarity of each of the subset, an amount of gap or overlap between the subset, or a combination thereof.