Satellite Image Difference Detection with Illumination and Color Matching
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Solution Overview
Problem
Current difference detection technologies in satellite images lack robustness in accurately identifying changes in buildings by matching characteristic information between multi-time images, particularly illumination and color information, leading to potential misrecognition due to variations in lighting and color.
Innovation Solution
A difference detection device and method that utilizes an adaptive difference detection algorithm enhanced with an attention module, performing pre-processing to match illumination and color information using a reference image, and employing channel and spatial exchange modules to improve robustness and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If difference detection is performed on multi-time satellite images without matching characteristic information, then the detection process is simple and fast, but the robustness and accuracy of change detection deteriorates due to illumination and color distribution differences
Solution Approach 1:
The patent applies preliminary action by performing characteristic information matching (illumination and color distribution alignment) on satellite images before conducting difference detection. This pre-processing step ensures that images are normalized to comparable conditions, eliminating false detections caused by environmental variations while maintaining detection accuracy without requiring complex real-time adjustments during the detection process itself.
Solution Approach 2:
The patent introduces characteristic information matching as an intermediary process between image acquisition and difference detection. By using illumination information and color distribution as intermediate normalization layers, the system mediates the comparison between multi-time images, ensuring that detected changes are truly structural rather than artifacts of environmental conditions.
2Reliability
If data augmentation is used to improve difference detection robustness, then the detection model becomes more robust to variations, but the accuracy of matching characteristic information between images deteriorates
Solution Approach 1:
The patent applies parameter changes by systematically adjusting illumination and color distribution parameters of satellite images through characteristic information matching. Instead of relying on data augmentation techniques that randomly transform images, the method precisely modifies specific parameters (illumination levels, color histograms) to align images to their true characteristic states, thereby achieving both robustness and high matching accuracy simultaneously.
Data Source
AI summary
A difference detection device comprising: a data collection module configured to collect a satellite image set comprising a plurality of satellite images; a pre-processing module configured to generate a pre-processing image set by matching characteristic information of the satellite images included in the satellite image set; and a difference determination module configured to generate difference information between the plurality of satellite images by determining a difference between pre-processing images included in the pre-processing image set, wherein the characteristic information comprises at least one of illumination information and color information of the satellite image.