Method for recovering multi-temporal cloud shielding data based on time-phase spectral angle measurement
A technology of spectral angle and recovery method, which is applied in the field of multi-temporal cloud occlusion data recovery, can solve the problem of low recovery accuracy, achieve the effect of improving application depth, application range and application ability, and application range
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specific Embodiment approach 1
[0024] Specific implementation mode one: combine figure 1 To illustrate this embodiment, the specific process of a multi-temporal cloud occlusion data recovery method based on time-phase spectrum angle in this embodiment is as follows:
[0025] Step 1. Input the multi-temporal multi-spectral remote sensing image with cloud occlusion;
[0026] Step 2, calculating the cloud occlusion data loss degree of each point on the geographical coordinates of the multi-temporal multi-spectral remote sensing image with cloud occlusion;
[0027] Step 3. Taking the point with the smallest cloud occlusion data missing degree at each point on the multi-temporal multi-spectral remote sensing image space with cloud occlusion as the point to be filled;
[0028] Step 4, extracting the multitemporal multispectral data X and the corresponding missing temporal geographic coordinates of the points to be filled;
[0029] Step 5, using the time-phase spectral angle function to calculate the similarity...
specific Embodiment approach 2
[0033] Specific embodiment two: the difference between this embodiment and specific embodiment one is: in the step one, input the multi-temporal multi-spectral remote sensing image with cloud occlusion; specifically:
[0034] Any point in the input space of multi-temporal multi-spectral remote sensing image data with cloud occlusion is a matrix, and its behavior phase is listed as spectrum.
[0035] Other steps and parameters are the same as those in Embodiment 1.
specific Embodiment approach 3
[0036] Specific embodiment three: the difference between this embodiment and specific embodiment one or two is: the cloud occlusion data loss degree of each point on the multi-temporal multi-spectral remote sensing image space with cloud occlusion is calculated in the said step 2; the specific process is:
[0037] The formula for calculating the cloud occlusion data missing degree of point a on the multi-temporal multi-spectral remote sensing image space is as follows:
[0038]
[0039] Other steps and parameters are the same as those in Embodiment 1 or Embodiment 2.
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