SYSTEMS AND METHODS OF IMAGE EXTRACTION FOR EFFECTIVE GLOBAL AND LOCAL DAMAGE ASSESSMENT
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United States of America
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Jan 16, 2025
app pub date -
Jul 10, 2024
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Jul 10, 2024
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A system and method for prior and post-image analysis for damage level assessments are provided. An Image-based Prior and Posterior Conditional Probability Learning (IP2CL) system and method is provided for Human Assistance and Disaster Response (HADR) and damage assessments (DA) situational assessment and awareness (SAA). Equipped with the IP2CL, matching prior and posterior disaster/action images are effectively encoded into one image which is then ingested into deep learning (DL) approaches to determine the damage levels. Two scenarios for practical uses are provided: pixel-wise semantic segmentation and patch-based global damage classification.
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