Photovoltaic roof and photovoltaic obstacle automatic identification algorithm
An automatic recognition and obstacle technology, applied in character and pattern recognition, computing, computer parts and other directions, can solve problems such as easy omission and time-consuming
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment Construction
[0038] Such as figure 1 The schematic diagram of the automatic recognition algorithm for photovoltaic roofs and photovoltaic obstacles is shown, which specifically includes the following steps:
[0039] 1. Data collection and processing:
[0040] Based on a 3D geographic model of an actual target area, use automatic processing software (such as commercial software ContextCapture) to export a complete orthophoto map (each pixel contains the RGB information of the area) and a DSM map (Digital Surface Elevation Map, Digital Surface Model, each pixel contains corresponding height information). Both images have the same size, resolution, and top-left geographic location. Therefore, to find each pixel point P i (x i ,y i ) corresponding RGB value (r i , g i ,b i ) and elevation value z i . The position of each pixel corresponds to the actual geographic coordinate position. There is a fixed sampling distance d meters between the geographic locations of adjacent pixel point...
PUM
Login to View More Abstract
Description
Claims
Application Information
Login to View More 


