Historical Background Problem Definition- Part I ·  · 2010-11-101 1 Photogrammetric ... Problem...

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1 1 Photogrammetric Techniques for Updating Cadastral Maps Photogrammetric Techniques for Updating Cadastral Maps By: Dr. Rami Al-Ruzouq Eng. Petya Dimitrova AL-BALQA’ APPLIED UNIVERSITY Faculty of Engineering Department of Surveying & Geomatics Engineering Photogrammetric Techniques for Cadastral Photogrammetric Techniques for Cadastral Map Renewal Map Renewal 2 Photogrammetric Techniques for Updating Cadastral Maps Photogrammetric Techniques for Updating Cadastral Maps Historical Background Problem Definition Objectives Methodology Experimental Results Conclusions and Future Work Overview 3 Photogrammetric Techniques for Updating Cadastral Maps Photogrammetric Techniques for Updating Cadastral Maps Historical Background Cadastral mapping in Jordan: – Started the early 30-es of the 20 th century – About 70-80 years after the introducing of first land registers by the Ottoman Empire – Cadastral map scales: 1:20000 and 1:10000 at the beginning later on : 1:5000, 1:2500 and 1:1250 – Methods, used for mapping : chain surveying, plan table method and tacheometry. since the late 80s: Terrestrial and Global Positioning Systems. 4 Photogrammetric Techniques for Updating Cadastral Maps Photogrammetric Techniques for Updating Cadastral Maps Problem Definition- Part I Existing status of the cadastre: Very low precision of the initial field surveys became completely unacceptable due to: Rapid increase of the land value Many areas are subject to public concern Or included into urban zones where better precision is required. Rapidly increasing requirements of the society for: Faster access to land related information Better quality- better positional and temporal precision Wide range of information Security of the ownership Joint project for renewal of cadastre carried on by the Department of Lands and Survey (DLS) with the technical support of GTZ. 5 Photogrammetric Techniques for Updating Cadastral Maps Photogrammetric Techniques for Updating Cadastral Maps Renewal of Cadastre- DLS Project 6 Photogrammetric Techniques for Updating Cadastral Maps Photogrammetric Techniques for Updating Cadastral Maps General Notes- DLS Project Topography of the area was not taken into consideration. The registered scanned images were compared only with the original hard copy maps. Comparison with ground truth (field surveying) is carried later-on sporadically. Quality (precision, distribution and source) of the control points is not always sufficient and time and cost consuming. Definition of projection and transformation types: only affine used, regardless to influencing factors.

Transcript of Historical Background Problem Definition- Part I ·  · 2010-11-101 1 Photogrammetric ... Problem...

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1Photogrammetric Techniques for Updating Cadastral MapsPhotogrammetric Techniques for Updating Cadastral Maps

By: Dr. Rami Al-Ruzouq

Eng. Petya Dimitrova

AL-BALQA’ APPLIED UNIVERSITYFaculty of Engineering

Department of Surveying & Geomatics Engineering

Photogrammetric Techniques for Cadastral Photogrammetric Techniques for Cadastral Map RenewalMap Renewal

2Photogrammetric Techniques for Updating Cadastral MapsPhotogrammetric Techniques for Updating Cadastral Maps

• Historical Background

• Problem Definition

• Objectives

• Methodology

• Experimental Results

• Conclusions and Future Work

Overview

3Photogrammetric Techniques for Updating Cadastral MapsPhotogrammetric Techniques for Updating Cadastral Maps

Historical Background• Cadastral mapping in Jordan:

– Started the early 30-es of the 20th century– About 70-80 years after the introducing of first

land registers by the Ottoman Empire– Cadastral map scales:

• 1:20000 and 1:10000 at the beginning• later on : 1:5000, 1:2500 and 1:1250

– Methods, used for mapping :• chain surveying, plan table method and tacheometry. • since the late 80s: Terrestrial and Global Positioning

Systems.

4Photogrammetric Techniques for Updating Cadastral MapsPhotogrammetric Techniques for Updating Cadastral Maps

Problem Definition- Part I• Existing status of the

cadastre:– Very low precision of

the initial field surveys became completely unacceptable due to:

• Rapid increase of the land value

• Many areas are subject to public concern

• Or included into urban zones where better precision is required.

• Rapidly increasing requirements of the society for:– Faster access to land related

information– Better quality- better positional

and temporal precision– Wide range of information– Security of the ownership

Joint project for renewal of cadastre carried on by the Department of Lands and Survey (DLS) with the technical support of GTZ.

5Photogrammetric Techniques for Updating Cadastral MapsPhotogrammetric Techniques for Updating Cadastral Maps

Renewal of Cadastre-DLS Project

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General Notes- DLS Project• Topography of the area was not taken into

consideration.• The registered scanned images were compared

only with the original hard copy maps. Comparison with ground truth (field surveying) is carried later-on sporadically.

• Quality (precision, distribution and source) of the control points is not always sufficient and time and cost consuming.

• Definition of projection and transformation types: only affine used, regardless to influencing factors.

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Problem Definition- Part IIDiversity of Available Data

Satellite Satellite Imagery:Imagery:

IKONOSIKONOS--1m1m

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Problem Definition- Part IIDiversity of Available Data

Aerial Stereo Aerial Stereo Photography:Photography:

Scale 1:10000Scale 1:10000

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Problem Definition- Part IIDiversity of Available Data

•• Field Field Surveying:Surveying:

GPSGPS

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Problem Definition- Part IIDiversity of Available Data

•• Hard Copy Hard Copy Cadastral Cadastral Maps:Maps:

DLSDLS

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Problem Definition- Part IIDiversity of Available Data

•• Topographic Topographic Maps:Maps:

RJGCRJGC

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Objectives•• Data IntegrationData Integration: Well established procedure

that Fundamentally involves combining or merging data from multiple sources in an effort to extract better and/or more information

•• Evaluation of the factors, causing mismatch Evaluation of the factors, causing mismatch between different data sources- qualitative and quantitative methods Transformation FunctionTransformation Function: Establishing the mathematical function that relates different data (2D-similirty, affine and polynomial)

•• Ground TruthGround Truth: fairly representation the real object space in high accuracy taking into consideration the cost associated with such requirement.

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Methodology

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Reference

Field Surveying

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Photogrammetry

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Photogrammetry

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Control point

Tie point

Check point

Photogrammetry

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Digital Terrain ModelCountor LinesOrtho-PhotoPhotogrammetry

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Satellite imagesGeo-referencing IKONOS with

Ortho-photo

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Photogrammetry: Rectified IKONOS, overlaid with Ortho-photo and DLS vector data

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Scanning

• Hard copy cadastral maps-DLS

• Topographic maps- RJGC

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321 CYCXCx +−=

612 CYCXCy ++=

2-D Similarity

8765 BZBYBXBy +++=

4321 BZBYBXBx +++=

Parallel Projection

321 CYCXCx ++=

654 CYCXCy ++=

Standard Affine

4251 & CCCC −==YaXaaZ ⋅+⋅+= 210

Parallel Projection

Perspective Projection

Flight Directions

Object Space

High AltitudeNarrow AFOV

Planar Surface

Parallel Image-Object

Approximate Models

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Orthophoto

Object Space

Affine transformation

Affine Transformation Affine Transformation

Transformation

Cadastral map

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Registration Results (RMS)

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Vector Data- DLS

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Overlay of Vector Layer (from Palestine Grid) with Ortho-photo

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Results- Overlay

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Results- Data Fusion

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Conclusions • Application of the method for extraction of cadastral

boundaries:– Initial cadastral survey or resurveying:

• Using photogrammetric marks on ground (on top of boundary marks)

• Regardless to existence of physical boundaries– Check for consistence between legal boundaries-cadastral

maps and physical boundaries- orthophotos• Cadastral maps can be very successfully updated using orthophotos

in old settlement areas where agreements between neighbors existand the physical boundaries are obviously not changed since longtime.– physical boundaries == legal ones – systematic distortions of the digital map can be discovered and

eliminated

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• Application of the method:– Extraction of new features:

• Topography• Buildings• Land Marks• Land use• Environmental conditions• Other

MultiMulti--Purpose CadastrePurpose Cadastre

Conclusions

Play major role in Land Value!

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Conclusions• Application of transformation functions

– Affine: suitable for flat areas– Projective : for hilly areas

• Orthophoto is good and accurate source that represent ground truth which could be used as a base for registration

• Causes of mismatch:– Different accuracy in the primary sources: control

points, original survey and mapping, etc.– Projection types– Scanning– Digitizing– Transformation functions (with regard to topography)

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Future Work

• Applying feature extraction to produce true orthophoto for 3D modeling

• Overlaying other data sources with importance to multi-purpose cadastre:– Maps of infrastructure: on or under-ground– Land use planning– Other satellite imagery: Spot, Landsat– Other