A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Remote Sensing Data Preprocessing Technology
With the development of remote sensing technology, remote sensing images are becoming increasingly convenient. Different types of remote sensing images have different advantages in urban green space research. This chapter mainly introduces the characteristics and preprocessing methods of multi-spectral high-resolution data, LiDAR point cloud data, Quickbird image data, etc. Apart from these, the latest street view map, a type of real time map service, provides 360° panoramic views of cities, streets or others. The service provides users the maps with an immersive browsing experience. Street view data has gradually become the data source of urban green space research due to its similarity to pedestrian perspective and low acquisition cost. At the end of this chapter, we will introduce the objects classification techniques and characteristics of street view data.
Remote Sensing Data Preprocessing Technology
With the development of remote sensing technology, remote sensing images are becoming increasingly convenient. Different types of remote sensing images have different advantages in urban green space research. This chapter mainly introduces the characteristics and preprocessing methods of multi-spectral high-resolution data, LiDAR point cloud data, Quickbird image data, etc. Apart from these, the latest street view map, a type of real time map service, provides 360° panoramic views of cities, streets or others. The service provides users the maps with an immersive browsing experience. Street view data has gradually become the data source of urban green space research due to its similarity to pedestrian perspective and low acquisition cost. At the end of this chapter, we will introduce the objects classification techniques and characteristics of street view data.
Remote Sensing Data Preprocessing Technology
Meng, Qingyan (author)
Remote Sensing of Urban Green Space ; Chapter: 2 ; 9-26
2023-03-28
18 pages
Article/Chapter (Book)
Electronic Resource
English
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