Infrastructure Inventory Compilation Infrastructure Inventory Compilation Using Single High- -Resolution Satellite Resolution Satellite Using Single High Images Images Pooya Sarabandi 1 1 , Beverly Adams , Beverly Adams 2 2 , , Pooya Sarabandi Anne S. Kiremidjian 1 1 , Ronald T. Eguchi , Ronald T. Eguchi 3 3 Anne S. Kiremidjian 1 Stanford University, CA, USA 1 Stanford University, CA, USA 2 2 ImageCat Inc., London, UK ImageCat Inc., London, UK 3 ImageCat Inc., CA,USA 3 ImageCat Inc., CA,USA rd International Workshop on Remote Sensing Technologies and Disas 3 rd 3 International Workshop on Remote Sensing Technologies and Disaster Response ter Response ImageCat, Inc. Chiba, Japan, September 12 ~ 13, 2005 Chiba, Japan, September 12 ~ 13, 2005 Overview Overview � Objective Objective � � Building Inventory Data Structure Building Inventory Data Structure � � Why Building Inventory? Why Building Inventory? � � Available Building Inventory Databases Available Building Inventory Databases � � Why Remote Sensing? Why Remote Sensing? � � Proposed Algorithm Proposed Algorithm � Sensor Models Sensor Models � � Rational Function Model Rational Function Model � � Image Acquisition Geometry Image Acquisition Geometry � � 3D Reconstruction Algorithm 3D Reconstruction Algorithm � � Measurement Error Measurement Error � � � Implementation (MIHEA) Implementation (MIHEA) � � Results and Calibration Results and Calibration � rd International Workshop on Remote Sensing Technologies and Disas 3 3 rd International Workshop on Remote Sensing Technologies and Disaster Response ter Response ImageCat, Inc. Chiba, Japan, September 12 ~ 13, 2005 Chiba, Japan, September 12 ~ 13, 2005
Objective Objective To develop a semi- -automated method for automated method for To develop a semi spatial and structural information extraction spatial and structural information extraction from single satellite images to be used in from single satellite images to be used in building inventories building inventories rd International Workshop on Remote Sensing Technologies and Disas 3 rd 3 International Workshop on Remote Sensing Technologies and Disaster Response ter Response ImageCat, Inc. Chiba, Japan, September 12 ~ 13, 2005 Chiba, Japan, September 12 ~ 13, 2005 Overview Overview � Objective Objective � � Building Inventory Data Structure Building Inventory Data Structure � � Why Building Inventory? Why Building Inventory? � � Available Building Inventory Databases Available Building Inventory Databases � � Why Remote Sensing? Why Remote Sensing? � � Proposed Algorithm Proposed Algorithm � � Sensor Models Sensor Models � � Rational Function Model Rational Function Model � � Image Acquisition Geometry Image Acquisition Geometry � � 3D Reconstruction Algorithm 3D Reconstruction Algorithm � � Measurement Error Measurement Error � � Implementation (MIHEA) Implementation (MIHEA) � � Results and Calibration Results and Calibration � rd International Workshop on Remote Sensing Technologies and Disas 3 3 rd International Workshop on Remote Sensing Technologies and Disaster Response ter Response ImageCat, Inc. Chiba, Japan, September 12 ~ 13, 2005 Chiba, Japan, September 12 ~ 13, 2005
Building Inventory Data Structure Building Inventory Data Structure � Address or Lon/Lat Address or Lon/Lat � � Age or year of construction Age or year of construction � � Height or number of stories Height or number of stories � � Footprint Area Footprint Area � � Structural type Structural type � � Occupancy type Occupancy type � � Roof type Roof type � � Cladding Cladding � � Shape irregularity Shape irregularity � � Height irregularity Height irregularity � rd International Workshop on Remote Sensing Technologies and Disas 3 rd 3 International Workshop on Remote Sensing Technologies and Disaster Response ter Response ImageCat, Inc. Chiba, Japan, September 12 ~ 13, 2005 Chiba, Japan, September 12 ~ 13, 2005 Overview Overview � Objective Objective � � Building Inventory Data Structure Building Inventory Data Structure � � Why Building Inventory? Why Building Inventory? � � Available Building Inventory Databases. Available Building Inventory Databases. � � Why Remote Sensing? Why Remote Sensing? � � Proposed Algorithm Proposed Algorithm � � Sensor Models Sensor Models � � Rational Function Model Rational Function Model � � Image Acquisition Geometry Image Acquisition Geometry � � 3D Reconstruction Algorithm 3D Reconstruction Algorithm � � Measurement Error Measurement Error � � Implementation (MIHEA) Implementation (MIHEA) � � Results and Calibration Results and Calibration � rd International Workshop on Remote Sensing Technologies and Disas 3 rd 3 International Workshop on Remote Sensing Technologies and Disaster Response ter Response ImageCat, Inc. Chiba, Japan, September 12 ~ 13, 2005 Chiba, Japan, September 12 ~ 13, 2005
Why Building Inventory? Why Building Inventory? Vital information to: Vital information to: � Decision Makers Decision Makers � � Urban Planners Urban Planners � � Disaster Response Disaster Response � � Loss Estimation Loss Estimation � � Portfolio management Portfolio management � rd International Workshop on Remote Sensing Technologies and Disas 3 rd 3 International Workshop on Remote Sensing Technologies and Disaster Response ter Response ImageCat, Inc. Chiba, Japan, September 12 ~ 13, 2005 Chiba, Japan, September 12 ~ 13, 2005 Overview Overview � Objective Objective � � Building Inventory Data Structure Building Inventory Data Structure � � Why Building Inventory? Why Building Inventory? � � Available Building Inventory Databases. Available Building Inventory Databases. � � Why Remote Sensing? Why Remote Sensing? � � Proposed Algorithm Proposed Algorithm � � Implementation (MIHEA) Implementation (MIHEA) � � Results and Calibration Results and Calibration � rd International Workshop on Remote Sensing Technologies and Disas 3 rd 3 International Workshop on Remote Sensing Technologies and Disaster Response ter Response ImageCat, Inc. Chiba, Japan, September 12 ~ 13, 2005 Chiba, Japan, September 12 ~ 13, 2005
Available Inventory Databases Available Inventory Databases Problems: Problems: Sources: Sources: Not always available in � Not always available in � � Tax Assessors files Tax Assessors files � digital format digital format � Government files (e.g. Government files (e.g. � � Incomplete for many Incomplete for many � FEMA, GSA … …) ) FEMA, GSA attributes attributes � Sanborn maps (US only) Sanborn maps (US only) � Unavailable for many � Unavailable for many � � Real estate files Real estate files � regions (e.g. developing regions (e.g. developing � Insurance portfolios Insurance portfolios � countries) countries) Updating only some � Updating only some � information information rd International Workshop on Remote Sensing Technologies and Disas 3 3 rd International Workshop on Remote Sensing Technologies and Disaster Response ter Response ImageCat, Inc. Chiba, Japan, September 12 ~ 13, 2005 Chiba, Japan, September 12 ~ 13, 2005 Overview Overview � Objective Objective � � Building Inventory Data Structure Building Inventory Data Structure � � Why Building Inventory? Why Building Inventory? � � Available Building Inventory Databases Available Building Inventory Databases � � Why Remote Sensing? Why Remote Sensing? � � Proposed Algorithm Proposed Algorithm � � Implementation (MIHEA) Implementation (MIHEA) � � Results and Calibration Results and Calibration � rd International Workshop on Remote Sensing Technologies and Disas 3 3 rd International Workshop on Remote Sensing Technologies and Disaster Response ter Response ImageCat, Inc. Chiba, Japan, September 12 ~ 13, 2005 Chiba, Japan, September 12 ~ 13, 2005
Why Remote Sensing? Why Remote Sensing? � Remote and hard to reach locations Remote and hard to reach locations � � Digital formats Digital formats � � Can augment missing information Can augment missing information � � Large Coverage Large Coverage � � Frequent updates Frequent updates � � Eventually will be more cost effective than Eventually will be more cost effective than � land survey land survey rd International Workshop on Remote Sensing Technologies and Disas 3 rd 3 International Workshop on Remote Sensing Technologies and Disaster Response ter Response ImageCat, Inc. Chiba, Japan, September 12 ~ 13, 2005 Chiba, Japan, September 12 ~ 13, 2005 Building Inventory Data Structure Building Inventory Data Structure � Address or Lon/Lat * Address or Lon/Lat * � � Age or year of construction Age or year of construction � � Height or number of stories* Height or number of stories* � � Footprint Area* Footprint Area* � � Structural type Structural type � � Occupancy type Occupancy type � � Roof type* Roof type* � � Cladding* Cladding* � � Shape irregularity* Shape irregularity* � � Height irregularity* Height irregularity* � * - - information that can be obtained from imagery information that can be obtained from imagery * rd International Workshop on Remote Sensing Technologies and Disas 3 rd 3 International Workshop on Remote Sensing Technologies and Disaster Response ter Response ImageCat, Inc. Chiba, Japan, September 12 ~ 13, 2005 Chiba, Japan, September 12 ~ 13, 2005
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