A Conjugate Gradient Approach to Least Squares Analysis of Cadastral Survey Data
In theory the problem of maintaining the geometrical quality of a digital cadastral database can be solved if measurements are used instead of coordinates as the source data. This approach requires a very efficient least squares approach to solve the large amount of cadastral measurements. Although...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Fakulti Ukur dan Harta Tanah
1995
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/4924/1/AConjugate.pdf http://eprints.utm.my/id/eprint/4924/ |
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| Institution: | Universiti Teknologi Malaysia |
| Language: | English |
| Summary: | In theory the problem of maintaining the geometrical quality of a digital cadastral database can be solved if measurements are used instead of coordinates as the source data. This approach requires a very efficient least squares approach to solve the large amount of cadastral measurements. Although many least squares programs has
been extensively developed, but they are designed specifically to optimize either geodetic or engineering problems. The nature of cadastral networks is unique
compared that of the geodetic or engineering networks and hence require a new approach of the least squares computation. An iterative method known as conjugate
gradient is being tested for cadastral applications. |
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