SAR Image Generation Through Randomized Object Positioning
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The influence of the position of an object in a cut-out image from a synthetic aperture radar (SAR) image is significant, leading to potential deviations that can affect the training of machine learning models.
Innovation Solution
An image generation apparatus and method that randomly determines the position of the object in the cut-out image from the SAR image, ensuring the position is not biased and uniformly distributed, thereby reducing the influence of the object's position on the training data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the SAR image is cut out at a predetermined size, then the training data can be generated, but the position of the object in the cut-out image becomes fixed and biased, leading to positional deviation in the training data
Solution Approach 1:
The patent applies dynamics by making the cut-out image position variable rather than fixed. The object detection unit detects objects in the SAR image, and the image generation unit randomly determines the position of the object within the cut-out image by randomly selecting the reference point in the detection range. This dynamic positioning ensures that the object position in the training data is uniformly distributed without bias, resolving the contradiction between efficient training data generation and accurate position distribution.
2Device complexity
If the object position in the cut-out image is fixed, then the image cutting process is simple, but the machine learning model may learn the position as a feature amount, reducing model accuracy
Solution Approach 1:
The patent implements feedback by using the object detection result to guide the random position determination. The object detection unit provides information about the object's location in the SAR image, and the image generation unit uses this feedback to randomly select a reference point within the detection range. This ensures that the object position in the cut-out image is uniformly distributed, preventing the model from learning positional bias while maintaining a relatively simple cutting process.
3Manufacturing precision
If the cut-out image position is randomly determined, then the object position bias is reduced, but the image generation process becomes more complex
Solution Approach 1:
The patent applies preliminary action by performing object detection before the image cutting process. The object detection unit detects objects and determines their detection ranges in advance, and the image generation unit stores this information. During the image generation phase, the system randomly selects a reference point within the pre-detected range, which simplifies the overall process while ensuring uniform position distribution. This preliminary detection step reduces the complexity of the subsequent random positioning.
Data Source
AI summary
An image generation apparatus includes at least one memory configured to store instructions; and at least one processor configured to execute the instructions to: acquire a synthetic aperture radar (SAR) image; detect an object included in the SAR image; determine a size of a cut-out image corresponding to the object; and generate a cut-out image obtained by cutting out an image having the determined size from the SAR image in such a way that a position of the object in the cut-out image is random.