Method and device for rapid detection of ecological environment change patches based on time series images
A detection method and plaque technology, applied in image analysis, image enhancement, image data processing, etc., can solve the problem of inability to meet the needs of ecological protection red line to detect human activities in time, low efficiency of extraction of suspected plaques of human activities, and stability of results and poor reliability, to achieve the effect of preserving plaque integrity, fast speed, and accurate extraction
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Embodiment 1
[0071] The embodiment of the present invention provides a method for rapid detection of ecological environment change patches based on time-series images, which is used to automatically acquire new human activity change patches in (eco-regions such as ocean red lines), such as figure 1 As shown, the method includes:
[0072] S1: Obtain the remote sensing image containing the area to be detected, the remote sensing image includes the current remote sensing image and at least one historical remote sensing image.
[0073] The types of remote sensing images include but are not limited to hyperspectral remote sensing images, multispectral remote sensing images, high spatial resolution remote sensing images, low spatial resolution remote sensing images or radar images, etc. Remote sensing images must be current and Historical images of at least two scenes.
[0074] S2: Preprocessing the remote sensing images to obtain the preprocessed current and historical images.
[0075] Prepro...
Embodiment 2
[0116] The embodiment of the present invention provides a device for rapid detection of ecological environment change plaques based on time-series images, such as figure 2 As shown, the device includes:
[0117] The image acquisition module 1 is used to acquire remote sensing images including the area to be detected, and the remote sensing images include current remote sensing images and at least one historical remote sensing image.
[0118] The types of remote sensing images include but are not limited to hyperspectral remote sensing images, multispectral remote sensing images, high spatial resolution remote sensing images, low spatial resolution remote sensing images or radar images, etc. Remote sensing images must be current and Historical images of at least two scenes.
[0119] The preprocessing module 2 is used to preprocess the remote sensing images and obtain the preprocessed current and historical images.
[0120] Preprocessing includes image radiometric calibration...
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