Image Processing Device Cycle Pattern Change Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Radar image processing devices struggle to accurately detect environmental changes on natural terrains like rivers and seashores, as they often misidentify periodic changes such as seasonal or tidal variations due to lenient thresholds, leading to undetected changes.
Innovation Solution
An image processing device that generates a cycle pattern reflecting periodic environmental changes by calculating index values for target and material images, fitting these values with a linear expression and sine wave, and determining changes based on differences exceeding a threshold.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If lenient thresholds are set to avoid misidentifying periodic environmental changes, then false detection is reduced, but detection precision of actual changes deteriorates
Solution Approach 1:
The patent segments the detection process by separating periodic changes from non-periodic changes. It divides the time-series data into periodic components (modeled by cycle patterns) and residual components, allowing different detection strategies for each type of change.
Solution Approach 2:
The patent changes the detection parameter by introducing a cycle pattern that models periodic environmental changes. Instead of using a fixed threshold for all changes, it dynamically adjusts the baseline expectation based on the fitted cycle pattern, allowing the threshold to adapt to seasonal and tidal variations.
2Productivity
If observation frequency is low (once in several weeks), then resource consumption is reduced, but detection capability deteriorates due to inability to capture periodic changes
Solution Approach 1:
The patent performs preliminary action by fitting a cycle pattern to historical data before conducting change detection. This pre-processing step establishes an expected periodic behavior that compensates for the low observation frequency, allowing the system to predict what values should be expected at any given time even without frequent observations.
Solution Approach 2:
The patent creates a mathematical copy of the periodic behavior through the cycle pattern function. This copied model reproduces the seasonal and tidal variations, allowing the system to detect changes by comparing actual observations against this synthesized representation of periodic changes.
Data Source
AI summary
An image processing device includes a target image acquirer that acquires a target image, a target index value calculator that calculates a target index value for a subregion that is a portion of the target image, a material image acquirer that acquires material images arranged in chronological order, an index value calculator that calculates, in chronological order, an index value for a material subregion that is a portion of the material images, a cycle pattern generator that generates a cycle pattern fitting a chronological change in the calculated index value, and a change detector that calculates a correction index value that is a value in the-cycle pattern at a capturing date and time at which the target image is captured, and determines that a change occurs in the material subregion when a difference between the target index value and the correction index value is greater than a threshold.