Proceedings of UASG 2019 by Kamal Jain & Kourosh Khoshelham & Xuan Zhu & Anuj Tiwari

Author:Kamal Jain & Kourosh Khoshelham & Xuan Zhu & Anuj Tiwari
Language: eng
Format: epub
ISBN: 9783030373931
Publisher: Springer International Publishing

3.1 Automatic Feature Extraction Technique

The feature extraction technique being conducted [5] to extract the buildup area for choosing the optimal location for the solar panels. It has found that the roof top of each house suits best for the panel adoption. The extracted roof top data in Fig. 5 consists of all types of roof layers such as asbestos, tiled, concrete, thatched, etc. In these, some might be unsuitable for the fixation of solar panel.

Fig. 5Roof Top visibility of various types

The evaluation of the adequate available roof surfaces is the most crucial stage in implementation of roof-integrated solar panel [13]. From the rooftops, only concrete roof tops in Fig. 6 are evitable for adopting the solar panel. The User should provide some samples of the rooftops; here the samples were given as concrete and asbestos. Though this technique gives certain results, the use of such power supply systems is limited by the structural features of the roofs [14]. When each surface differs, the samples which the user adds increases. By this feature extraction the concrete roof tops are found suitably best for this study which paved way in running the samples to have the full extraction of concrete roof tops alone.

Fig. 6Automatic extraction of concrete roof top

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