Optimal scale selection method and device and computer readable storage medium

An optimal scale, multi-scale technology, applied in computer parts, computing, instruments, etc., can solve problems such as applicability limitations, achieve wide applicability, and avoid low efficiency.

Inactive Publication Date: 2019-08-06
SHENZHEN UNIV
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Problems solved by technology

[0004] The main purpose of the embodiments of the present invention is to provide an optimal scale selection method, device, and computer-readable storage medium, which can at least solve the problem of obtaining multiple scale analysis results when performing OBIA scale selection in the related art. Selecting a single optimal scale can only meet the needs of some specific application scenarios, and the applicability is relatively limited

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  • Optimal scale selection method and device and computer readable storage medium
  • Optimal scale selection method and device and computer readable storage medium
  • Optimal scale selection method and device and computer readable storage medium

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no. 1 example

[0034] In order to solve the technical problem that when selecting the scale of OBIA in related technologies, a single optimal scale is selected from the obtained multiple scale analysis results, which can only meet the needs of some specific application scenarios and has limited applicability, This embodiment proposes an optimal scale selection method, such as figure 1 Shown is a schematic flow chart of the optimal scale selection method provided in this embodiment. The optimal scale selection method proposed in this embodiment includes the following steps:

[0035] Step 101, generate segmentation result maps under different scale parameters based on the input remote sensing image.

[0036] Specifically, remote sensing images can be high-resolution panchromatic or multispectral images. In this embodiment, multi-scale segmentation is performed on the input remote sensing image, and a segmentation result map is determined for subsequent selection of training samples.

[0037]...

no. 2 example

[0064] In order to solve the technical problem that when selecting the scale of OBIA in related technologies, a single optimal scale is selected from the obtained multiple scale analysis results, which can only meet the needs of some specific application scenarios and has limited applicability, This embodiment shows an optimal scale selection device, for details, please refer to Figure 7 , the optimal scale selection device of this embodiment includes:

[0065] A generation module 701, configured to generate segmentation result maps under different scale parameters based on the input remote sensing image;

[0066] The training module 702 is used to select training samples from the generated segmentation result map to construct a training sample set, and based on a machine learning algorithm, use the training sample set to train to obtain a multi-scale classification model; the training samples include classification labels and corresponding classification labels. characteris...

no. 3 example

[0081] This embodiment provides an electronic device, see Figure 8 As shown, it includes a processor 801, a memory 802, and a communication bus 803, wherein: the communication bus 803 is used to realize connection and communication between the processor 801 and the memory 802; the processor 801 is used to execute one or more programs stored in the memory 802 A computer program to realize at least one step in the optimal scale selection method in the first embodiment above.

[0082] The present embodiment also provides a computer-readable storage medium, which includes information implemented in any method or technology for storing information, such as computer-readable instructions, data structures, computer program modules, or other data. volatile or nonvolatile, removable or non-removable media. Computer-readable storage media include but are not limited to RAM (Random Access Memory, random access memory), ROM (Read-Only Memory, read-only memory), EEPROM (Electrically Eras...

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Abstract

Embodiments of the invention disclose an optimal scale selection method and device, and a computer readable storage medium. The method comprises the steps of generating the segmentation result graphsunder different scale parameters based on an input remote sensing image; selecting a training sample from the generated segmentation result graphs, training the training sample to obtain a multi-scaleclassification model, then carrying out multi-scale classification on the remote sensing image to be classified, and generating the classification result graphs under different scale parameters; selecting a plurality of target classification result graphs from the classification result graphs, and respectively calculating the classification precision associated with each target classification result graph; and carrying out optimal scale selection after classification precision statistics. By implementing the invention, the multi-scale classification result is used for precision evaluation, the optimal scale is selected according to the precision evaluation statistical result, the applicability is wider, the analysis requirements under more scenes can be met, the conversion from the optimal segmentation scale to the optimal classification scale is achieved, and the defects that the efficiency is low and the effect is poor when the analysis scale is selected at the segmentation stage are overcome.

Description

technical field [0001] The invention relates to the field of remote sensing image processing, in particular to an optimal scale selection method, device and computer-readable storage medium. Background technique [0002] Scale is the window for human beings to understand things. In earth observation, due to the complexity and variety of surface types, different scales of land objects coexist, and the same area also shows different attributes when observed from different scales. Therefore, the issue of scale is a matter of earth observation It is one of the main challenges and also one of the key issues of the Object-Based Image Analysis (OBIA) method. In many applications, the scale analyzed by the OBIA method is embodied as the scale parameter of the segmentation algorithm. Scale, as the core parameter of the segmentation algorithm, determines the scale of the obtained analysis primitives, and choosing an appropriate segmentation scale is the primary problem faced by many ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
CPCG06F18/24G06F18/214
Inventor 胡忠文刘志刚董轩妍邬国锋李清泉
Owner SHENZHEN UNIV
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