# US 2026/0086039 A1 · System and method of geometrical information analysis for explainable damage assessment > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2026/0086039 A1 - Document ID: US20260086039A1 - Status: Published application - Kind: A1 - Application number: 18/893,244 - Filed: 2024-09-23 - Published: 2026-03-26 - Earliest claimed: 2024-09-23 - Assignees: Government of the United States as Represented by the Secretary of the Air Force - Applicants: Government of the United States as represented by the Secretary of the Air Force - Inventors: Jie Wei; Weicong Feng; Erika Ardiles-Cruz; Erik Blasch; Paul Schrader - Web page: https://patentgrep.com/patent/US20260086039A1 ## CPC - G01N 21/8851: {Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges (G01N21/8806 and G01N21/93 - G01N21/95692 take precedence; optical measurement of dimensions G01B11/00; optical scanning G02B26/10; image transformation G06T3/00; computerised image enhancement G06T5/00; image processing per se for flaw detection G06T7/0002)} - G01S 17/89: for mapping or imaging - G06T 7/10: Segmentation; Edge detection (motion-based segmentation G06T7/215) - G06V 10/763: {Non-hierarchical techniques, e.g. based on statistics of modelling distributions} - G06V 20/176: {Urban or other man-made structures} - G06V 20/64: Three-dimensional [3D] objects - G01N: INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES (measuring or testing apparatus or processes other than immunoassay, involving enzymes or microorganisms C12M, C12Q) - G01S: RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES - G06T: IMAGE DATA PROCESSING OR GENERATION, IN GENERAL - G06V: IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING ## Abstract A method and system for geometrical and topological information analysis for an explainable damage assessment are developed. The system stores pre-disaster and post-disaster point cloud data in computer memory which is connected to a server via a network. The portions of the pre-disaster and post-disaster point cloud data corresponding to the regions of interest are segmented out using geometrical analysis. Features based on topological data analysis techniques for these portions are extracted and stacked as the index reflecting the innate geometrical and topological properties for potential damage assessment. A collection of classifiers are trained to group the damage levels for each region of interest. The damage assessment results identified by the classifiers and a set of explainable items justifying the classification results are reported to a human-readable device. ## Claims ### Claim 1 A system for geometrical information analysis for an explainable damage assessment, comprising, a database in computer memory; a plurality of point cloud imagery data stored in the database; a network communication component for transmitting the plurality of point cloud imagery data; a segmentation module configured to receive at least a portion of the plurality of point cloud imagery data; a damage assessment module configured to receive information from the segmentation module; and a results module configured to receive information from the damage assessment module to produce explainable results on a human-readable device. ### Claim 2 (depends on 1) The system of claim 1, wherein the plurality of point cloud imagery comprises LiDAR images. ### Claim 3 (depends on 1) The system of claim 1, wherein the plurality of point cloud imagery comprises point cloud images of a geographic location at two different times. ### Claim 4 (depends on 3) The system of claim 3, wherein the geographic location includes building structures. ### Claim 5 (depends on 4) The system of claim 4, wherein the segmentation module identifies the building structures. ### Claim 6 (depends on 1) The system of claim 1, wherein the damage assessment module uses topological data analysis. ### Claim 7 (depends on 1) The system of claim 1, wherein the damage assessment module can produce damage level designations for the results module. ### Claim 8 (depends on 1) The system of claim 1, wherein the damage assessment module uses persistent homology to encode topological features of pre-disaster and post-disaster of the plurality of point cloud imagery data. ### Claim 9 (depends on 1) The system of claim 1, wherein a human-readable device is a handheld device. ### Claim 10 A system for geometrical information analysis for an explainable damage assessment, comprising, a computer memory comprising pre-disaster point cloud imagery data and post-disaster point cloud imagery data in computer memory; a server communicatively linked via network connections to the computer memory; a segmentation module configured to receive at least a portion of the pre-disaster point cloud imagery data and a portion of the post-disaster point cloud imagery data; a damage assessment module configured to receive information from the segmentation module; and a results module configured to receive information from the damage assessment module to produce explainable results on a human-readable device. ### Claim 11 (depends on 10) The system of claim 10, wherein the plurality of point cloud imagery comprises LiDAR images. ### Claim 12 (depends on 10) The system of claim 10, wherein pre-disaster point cloud imagery data and post-disaster point cloud imagery data comprise point cloud images of a geographic location at two different times. ### Claim 13 (depends on 12) The system of claim 12, wherein the geographic location includes building structures. ### Claim 14 (depends on 13) The system of claim 13, wherein the segmentation module identifies the building structures. ### Claim 15 (depends on 10) The system of claim 10, wherein the damage assessment module uses topological data analysis. ### Claim 16 (depends on 10) The system of claim 10, wherein the damage assessment module uses persistent homology to encode topological features of pre-disaster and post-disaster of the plurality of point cloud imagery data. ### Claim 17 A method for geometrical information analysis for an explainable damage assessment, comprising, storing in computer memory pre-disaster point cloud imagery data and post-disaster point cloud imagery data; connecting a server via network connections to the computer memory; segmenting features in at least a portion of the pre-disaster point cloud imagery data and a portion of the post-disaster point cloud imagery data; and assessing differences between the pre-disaster point cloud imagery data and a portion of the post-disaster point cloud imagery data for the same geographical location; reporting the differences to a human-readable device. ### Claim 18 (depends on 17) The method of claim 17, wherein the plurality of point cloud imagery comprises LiDAR images. ### Claim 19 (depends on 17) The method of claim 17, wherein the features include building structures. ### Claim 20 (depends on 17) The method of claim 17, wherein the assessing step includes the use of topological data analysis.