Artificial neural networks based automatic feature extraction

Linear and Area Feature Extraction from Worldview-02 Satellite Images for Cadastral Data Collection
by Kuda Udage Janaki Sandamali - Sold by Dodax EU
State: New
VAT included - FREE Shipping
Kuda Udage Janaki Sandamali Artificial neural networks based automatic feature extraction
Kuda Udage Janaki Sandamali - Artificial neural networks based automatic feature extraction

Do you like this product? Spread the word!

£39.86 incl. VAT
Only 1 items available Only 1 items available
Delivery: between 2021-03-08 and 2021-03-10
Sales & Shipping: Dodax EU


Cadastral Surveying deals with ownership, boundaries, extent and value of land or property in a given area, mainly for the purpose of taxation. Traditional cadastral surveying approaches are always time consuming and require lot of efforts in field surveying especially in remote and mountainous areas. The photogrammetric technique is a possible solution for this. However, up-to-date aerial photographs are hard to obtain when compare to the high resolution satellite images. Therefore, in the study Worldview-02 satellite images were used for spatial data acquisition due to its resolution, coverage and continuous data availability. The implementation of automatic feature extraction from satellite images to collect some of the possible land features would definitely reduce the time and cost of completing cadastral mapping. Therefore, the study mainly focused on linear and area features to collect with automatic approaches. The results obtained show the possibility of using the proposed approach for automatic liner and area feature extraction from worldview-02 satellite images for cadaster data collection.


Author Kuda Udage Janaki Sandamali

Author Kalu Arachchige Manjula Chathuranga

Product Details


GTIN 9786139457724

Release Date 09.04.2019

Language English

Pages 96

Product type Paperback

Dimension 8.66 x 5.91 x 0.24  inches

Product Weight 5.71 ounces

We use cookies on our website to make our services more efficient and more user-friendly. Therefore please select "Accept cookies"! Please read our Privacy Policy for further information.