Remote sensing image change detection method, device, equipment and storage medium
A change detection and remote sensing image technology, applied in the fields of equipment and storage media, devices, and remote sensing image change detection methods, can solve the problems of low precision and low degree of automation, and achieve a high degree of applicability, high degree of automation, and high accuracy. Effect
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Embodiment 1
[0041] Such as figure 1 As shown, the embodiment of the present application proposes a remote sensing image change detection method, including:
[0042] Step 101: Perform image processing on two original images of different time series to generate a surface reflectance image X and a surface reflectance image Y;
[0043] In step 101, the original image includes image quality control information, satellite geometric information, sensor geometric information, acquisition time and other metadata.
[0044] Such as figure 2 As shown, the steps include:
[0045] Step 201: Use the metadata contained in the original images of the first time series to perform atmospheric correction on the original images of the first time series to generate a first initial surface albedo image; use the metadata contained in the original images of the second time series to correct the Atmospheric correction is performed on the original image to generate a second initial surface albedo image;
[0046...
example
[0091] Two phases of Landsat8 images in the Beijing area were selected on September 4, 2014 and September 2, 2019, as shown in Figure 3(a) and Figure 3(b). Each image includes quality control file QA images and metadata information of satellites and sensors. Atmospheric correction was performed on the Landsat8 data in 6 seconds, and masking, registration, resampling, and cropping were performed on the atmospherically corrected data. 7 for surface albedo images X and Y.
[0092] By traversing each pixel to calculate the spectral difference value, the spectral difference image D1 used to characterize the spectral characteristics of the two-phase image difference can be constructed, such as Figure 4 As shown, the larger the image value, the greater the degree of change. The typical correlation analysis algorithm is used to combine the two phases of images and perform linear transformation, which can effectively reduce the errors caused by illumination, sensor parameters, image...
Embodiment 2
[0094] Based on the above embodiments, the embodiment of the present application provides a remote sensing image change detection device, refer to Figure 9 As shown, the remote sensing image change detection device 300 provided in the embodiment of the present application at least includes:
[0095] The surface albedo image generating unit 301 is configured to perform image processing on two original images of different time series to generate a first surface albedo image and a second earth albedo image;
[0096] A spectral difference image generation unit 302, configured to perform spectral feature analysis on the first surface reflectance image and the second surface reflectance image, to generate a spectral difference image;
[0097] A change difference image generating unit 303, configured to perform image linear transformation on the first surface albedo image and the second surface albedo image to generate a change difference image;
[0098] A change image generation u...
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