Roof photovoltaic potential anti-interference evaluation method based on satellite image
A satellite image and photovoltaic technology, applied in image enhancement, image analysis, image data processing, etc., can solve the problem of difficult to distinguish interference and error of roof recognition results, improve recognition efficiency and accuracy, reduce distortion, and improve reliability Effect
Pending Publication Date: 2022-05-27
STATE GRID ZHEJIANG ELECTRIC POWER +1
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Problems solved by technology
[0004] The invention mainly solves the problem that it is difficult to distinguish whether there is interference and error in the roof identification results in the prior art; it provides a method for anti-interference evaluation of roof photovoltaic potential based on satellite images, verifies the identification results through different roof identification methods, and optimizes the identification results and identification process , to improve the accuracy of recognition results
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[0061] A method for anti-interference evaluation of rooftop photovoltaic potential based on satellite images in this embodiment, such as figure 1 shown, including the following steps:
[0062] S1: Get a satellite image of the top view of the building.
[0063] S2: Divide the preprocessed satellite image into several matrix image units equidistantly, and identify the boundary lines of the objects in the matrix image units respectively.
[0064] Over 70% of optical Earth observation satellites and many modern aerial digital cameras are capable of simultaneously capturing low-resolution multispectral (MS) imagery and high-resolution panchromatic (Pan) imagery. The number of MS bands in different sensors and the spectral bandwidth of Pan images often vary, and seasonal and regional differences also lead to differences in image information.
[0065] The stereo remote sensing image data is preprocessed by UNB pan-sharpening method including MS band or Pan band at the same time. R...
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The invention discloses a roof photovoltaic potential anti-interference evaluation method based on satellite images. The problem that whether interference and errors exist in roof recognition results or not is difficult to distinguish in the prior art is solved. The method comprises the following steps: acquiring a satellite image of a top view angle of a building; performing equidistant segmentation on the satellite image, and identifying boundary lines; restoring and combining the matrix images according to original positions, and connecting the matrix images into a plurality of closed areas; matching the shape of the closed area with a database to judge whether the closed area is a building roof; evaluating the recognition accuracy of a building roof result obtained according to the closed area through a roof recognition result output by the trained recognition model, and optimizing the building roof recognition result; and calculating the roof area of the building, and evaluating the photovoltaic potential of the roof by combining the energy consumption of the area where the building is located and the environmental information. The identification result is verified and evaluated through different roof identification modes, the identification result and the identification process are optimized, and the accuracy of the identification result is improved.
Description
technical field [0001] The invention relates to the field of photovoltaic potential evaluation, in particular to an anti-interference evaluation method of rooftop photovoltaic potential based on satellite images. Background technique [0002] With the increasing global energy demand, photovoltaic power generation has received more and more attention due to its advantages of cleanliness, convenience, safety, and suitability for distributed networking, and has become one of the most promising renewable energy power generation methods. . Quantitative evaluation of solar energy resource potential is the basis for formulating energy planning, providing basic data and engineering construction guidance for the development and utilization of regional solar energy resources. The identification result of roof area has an important impact on the evaluation of photovoltaic potential. However, the current roof identification process only uses An identification method, which is difficult...
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IPC IPC(8): G06V20/13G06V10/26G06V10/44G06V10/776G06K9/62G06T5/50G06Q10/06G06Q50/06G06Q50/08
CPCG06T5/50G06Q10/0639G06Q50/06G06Q50/08G06T2207/10032G06T2207/20221G06F18/217Y04S10/50
Inventor 孙可章敏捷王曦冉叶承晋王蕾章姝俊姜巍沈梁杨恺杨黎陈佳玺王鹏朱宇豪周林杨翾陈致远徐旸侯健生陈梓翰谷纪亭来聪叶珺歆王妤宁
Owner STATE GRID ZHEJIANG ELECTRIC POWER