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Image processing method, storage medium and computer terminal

An image processing and image technology, applied in the field of image processing, can solve the problems of high difficulty, seasonal changes of cultivated land, training difficulties, etc., and achieve the effect of solving low accuracy and improving detection efficiency

Pending Publication Date: 2022-04-15
ALIBABA (CHINA) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in practical applications, general change detection will have more false detections of the same type in some scenarios, such as seasonal changes in cultivated land, false detections caused by shadows, false detections caused by ships in waters, etc.
The current general-purpose change detection model is difficult to train, and it is difficult to adjust the model itself to fix these false detections.
[0003] For the above problems, no effective solution has been proposed

Method used

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  • Image processing method, storage medium and computer terminal
  • Image processing method, storage medium and computer terminal
  • Image processing method, storage medium and computer terminal

Examples

Experimental program
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Effect test

Embodiment 1

[0037] According to the embodiment of the present application, an embodiment of an image processing method is also provided. It should be noted that the steps shown in the flow chart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and, Although a logical order is shown in the flowcharts, in some cases the steps shown or described may be performed in an order different from that shown or described herein.

[0038] The method embodiments provided in the embodiments of the present application may be executed in mobile terminals, computer terminals or similar computing devices. figure 1 A hardware structural block diagram of a computer terminal (or mobile device) for implementing the image processing method is shown. Such as figure 1 As shown, the computer terminal 10 (or mobile device 10) may include one or more (shown by 102a, 102b, ..., 102n in the figure) processor 102 (the processor 102 may include but not ...

Embodiment 2

[0115] According to an embodiment of the present application, an image processing method is also provided. It should be noted that the steps shown in the flow charts of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and although in the flow chart The figures show a logical order, but in some cases the steps shown or described may be performed in an order different from that shown or described herein.

[0116] Figure 13 is a flow chart of an image processing method according to an embodiment of the present application, such as Figure 13 As shown, the method may include the following steps:

[0117] Step S1302, acquiring the first cultivated land image and the second cultivated land image.

[0118] Wherein, the first cultivated land image and the second cultivated land image are images acquired from the same cultivated land area at different times.

[0119] Step S1304, comparing and detecting the first culti...

Embodiment 3

[0133] According to an embodiment of the present application, an image processing method is also provided. It should be noted that the steps shown in the flow charts of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and although in the flow chart The figures show a logical order, but in some cases the steps shown or described may be performed in an order different from that shown or described herein.

[0134] Figure 14 is a flow chart of an image processing method according to an embodiment of the present application, such as Figure 14 As shown, the method may include the following steps:

[0135] Step S1402, acquiring the first building image and the second building image.

[0136] Wherein, the first building image and the second building image are images obtained by collecting the same building area at different times.

[0137] Step S1404, comparing and detecting the first building image and the second b...

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Abstract

The invention discloses an image processing method, a storage medium and a computer terminal. The method comprises the steps that a first remote sensing image and a second remote sensing image are acquired, and the first remote sensing image and the second remote sensing image are images acquired from the same area at different times; the first remote sensing image and the second remote sensing image are compared and detected, a target area is determined, and the target area is used for representing an image changing area in the first remote sensing image and the second remote sensing image; performing image recognition on the first remote sensing image and the second remote sensing image, and determining a first region type corresponding to the target region; based on the first area type corresponding to the target area, a detection result of the target area is determined, and the detection result is used for representing whether the target area is deleted or not. According to the invention, the technical problem of low accuracy of image recognition in the prior art is solved.

Description

technical field [0001] The present application relates to the field of image processing, in particular, to an image processing method, a storage medium and a computer terminal. Background technique [0002] At present, general change detection is a widely used remote sensing capability, which can extract the area where the type of ground features changes in the two images, but it will not identify the change category of the change pattern. The types of changes that need to be extracted for general change detection are very diverse, including from the start of groundbreaking to the completion of construction, from forest land to bare land, etc. However, in practical applications, general-purpose change detection will have more false detections of the same type in some scenarios, such as seasonal changes in cultivated land, false detections caused by shadows, false detections caused by ships in waters, etc. Current general-purpose change detection models are difficult to trai...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06V10/75G06V20/10
Inventor 杨喆王志斌李昊
Owner ALIBABA (CHINA) CO LTD
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