Hotspot area identification method, device and equipment based on remote sensing image
A remote sensing image and recognition method technology, applied in the field of data analysis, can solve problems such as inaccuracy and achieve the effect of improving accuracy
Pending Publication Date: 2022-03-01
GUANGZHOU INST OF GEOGRAPHY GUANGDONG ACAD OF SCI
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[0003] Since the trend characteristics and periodic characteristics of geographical phenomena often coexist, whether there are significant differences in the trend characteristics in different regions depends not only on the magnitude of the rate of change, but also on the strength of the periodic characteristics. However, the current technical solutions use linear regression or Similar algorithms to calculate the linear change rate of remote sensing images to represent the change trend of the observed objects are not accurate enough. Therefore, it is of great significance to propose an accurate hotspot identification method based on remote sensing images
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[0031] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with aspects of the present application as recited in the appended claims.
[0032] The terminology used in this application is for the purpose of describing particular embodiments only, and is not intended to limit the application. As used in this application and the appended claims, the singular forms "a", "the", and "the" are intended to include the plural forms as well, unless the context clearly dictates otherwise. It should also be understood that the term...
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The invention relates to the field of data analysis, in particular to a hot spot area identification method based on a remote sensing image, which comprises the following steps: acquiring a remote sensing image data set of a target area, and acquiring a time sequence of the remote sensing image data set according to a time point of the remote sensing image in the remote sensing image data set; according to an ensemble empirical mode decomposition algorithm, decomposing the time sequence to obtain an IMF subsequence of the remote sensing image data set; according to the IMF subsequence and a hotspot index calculation algorithm, obtaining a hotspot index of a single pixel in the remote sensing image; acquiring a spatial weight parameter of the remote sensing image, and acquiring a hotspot area of the target area according to the hotspot index and the spatial weight parameter; responding to a hot spot area display instruction, wherein the hot spot area display instruction comprises a remote sensing image data set of a to-be-recognized area, acquiring electronic map data, acquiring a hot spot area corresponding to the remote sensing image data set of the to-be-recognized area according to the remote sensing image data set of the to-be-recognized area, and displaying and labeling the hot spot area on the electronic map data.
Description
technical field [0001] The present invention relates to the field of data analysis, in particular to a method, device, equipment and storage medium for identifying hotspots based on remote sensing images. Background technique [0002] Remote sensing satellites have the advantage of long-term observation. In the past few decades, a large amount of historical archive data has been accumulated. This inspires users to use these remote sensing images to identify hotspots, realize the exploration of the temporal and spatial changes of the earth's surface, and reveal the spatial differentiation pattern of geographical phenomena caused by the long-term evolution process. [0003] Since the trend characteristics and periodic characteristics of geographical phenomena often coexist, whether there are significant differences in the trend characteristics in different regions depends not only on the magnitude of the rate of change, but also on the strength of the periodic characteristics....
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IPC IPC(8): G06V20/13G06K9/00G06V10/762G06K9/62
CPCG06F2218/08G06F18/23
Inventor 贾凯王重洋姜浩陈水森
Owner GUANGZHOU INST OF GEOGRAPHY GUANGDONG ACAD OF SCI