Utilization of Google Street View to Estimate Green View Index: a case study from Bandung, Indonesia

• 발행기관: 한국인공지능학회
• 저자명: Emir LUTHFI Setia PRAMANA
• 간행물 정보: 『인공지능연구』Vol.12 No. 4, 1~7쪽, 전체 7쪽
• 주제분류: 복합학 > 과학기술학
• 파일형태: PDF
• 발행일자: 2024.12.31

국문 초록

The use of street view has many benefits with its popular source being Google Street View (GSV). One of the processing methods uses semantic segmentation which can classify each pixel according to the category of the pre-trained pyramid scene parsing network (PSPNet) model used. The Green View Index (GVI) is one of the semantic segmentation research trends in viewing Green Open Space (GOS) based on human perception of an area. Green Open Space (GOS) provides many benefits and more attractiveness to the community to be able to live in the vicinity. The GVI obtained gives an average value of 22.5% capturing the presence of GOS which is higher than the green open space data collected by Housing and Settlement Area, Land and Parking Offices Bandung City.

목차

1. Introduction

2. Materials and Methods

3. Research Methods and Materials

4. Discussion

5. Conclusions

References

키워드

Street imagery Google Street View Green View Index Green open space