Urban green space extraction method based on unmanned aerial vehicle aerial image
An extraction method and unmanned aerial vehicle technology, which is applied in the direction of computer parts, instruments, character and pattern recognition, etc., can solve a lot of manpower and time problems, and achieve the effect of fast speed and flexible data acquisition
Pending Publication Date: 2022-03-01
浙江大学德清先进技术与产业研究院
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[0004] The purpose of the present invention is to provide a method for extracting urban green space based on unmanned aerial vehicle images, to solve the problem that the traditional urban green space statistical methods mentioned in the above-mentioned background technology mostly use manual investigation and survey, although the accuracy is high, it requires a lot of manpower and time issue
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[0015] In order to make the purpose, technical solutions and advantages of the present invention more clearly and completely described, it is obvious that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.
[0016] An embodiment provided by the present invention: a method for extracting urban green spaces based on unmanned aerial vehicle images, such as figure 1 shown, including the following steps:
[0017] Step 1: First prepare the drone, select the survey area, and plan the shooting route, shooting height, and shooting angle according to the survey area.
[0018] Step 2: After all the preliminary work is ready, start the drone to take aerial photography to obtain the original image, and the shooting height is set at 150-300m.
[0019] Step 3: Perform distortion processing on the acquired original image, process the image after distortion processing and correction into an aerial image with coordinates,...
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The invention discloses an unmanned aerial vehicle aerial image-based urban green space extraction method, which comprises the following steps of: 1, preparing an unmanned aerial vehicle, selecting a measurement area range, and planning a shooting route, a shooting height and a shooting angle according to the measurement area range; 2, starting the unmanned aerial vehicle to carry out aerial photographing to obtain an original image, wherein the photographing height is set to be 150-300m; 3, distortion processing is conducted on the obtained original image, the image obtained after distortion processing and correction is processed into an aerial photo image map with coordinates, geometric correction, light and color homogenization and mosaic cutting are conducted on the processed image with the coordinates, and finally an aerial photo ortho-image result map is obtained; 4, performing sample extraction on the green land in the range of the detection area; 5, performing green land identification and vector diagram extraction by adopting a maximum likelihood classification method; and step 6, carrying out manual check and topology check on the extracted vector data so as to establish an urban green land information database. Compared with a traditional measurement method, field investigation and survey are not needed, and manpower and time are reduced.
Description
technical field [0001] The invention belongs to the technical field of surveying and mapping methods for urban surface objects by drone aerial photography, and relates to a method for extracting urban green space based on drone aerial photography images. Background technique [0002] Urban green space refers to two parts: the green space within the urban construction land, the square land and the regional green space outside the urban construction land. It includes two levels of content: one is land used for greening within the scope of urban construction land; the other is land outside urban construction land. Urban greening can improve the natural ecological quality of the city, which is conducive to environmental protection; improve the quality of urban life and adjust environmental psychology; increase the aesthetic effect of urban landscape; increase urban economic benefits; help urban disaster prevention; purify air pollution. [0003] The traditional urban green spac...
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Login to View More IPC IPC(8): G06V20/17G06V10/24G06V10/40G06V10/764G06K9/62
CPCG06F18/24
Inventor 李德贵尚永衡沈正伟陈钢尹建伟
Owner 浙江大学德清先进技术与产业研究院