Vegetable field monitoring method based on multi-source multi-temporal remote sensing image data

A remote sensing image and multi-temporal technology, applied in the field of remote sensing applications, can solve the problems of limited classification accuracy, great influence of interfering ground objects, low efficiency, etc., and achieve the effect of improving monitoring accuracy and reducing the influence of interfering ground objects.

Active Publication Date: 2016-03-30
TWENTY FIRST CENTURY AEROSPACE TECH CO LTD
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Problems solved by technology

In the past, remote sensing monitoring research on crops has a single source of remote sensing data, which cannot effectively cover the monitoring area in a short period of time. In addition, human-computer interaction interpretation methods

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  • Vegetable field monitoring method based on multi-source multi-temporal remote sensing image data
  • Vegetable field monitoring method based on multi-source multi-temporal remote sensing image data
  • Vegetable field monitoring method based on multi-source multi-temporal remote sensing image data

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Embodiment Construction

[0048] Taking Beijing as an example below, the present invention will be further described in detail in conjunction with the accompanying drawings and specific implementation methods, but the present invention is not limited.

[0049] figure 1 Be the flow chart of the present invention's monitoring of autumn vegetable field in Beijing, comprising the following steps:

[0050] Step 1: Identify the types of vegetable fields and interfering objects and their phenological periods in autumn, and use the phenological period window method to analyze and screen the best phases for identification of vegetable fields and interfering objects.

[0051] (1) Clarify the types and phenological periods of autumn vegetable fields and disturbing features

[0052] According to the characteristics of meteorological conditions in Beijing, combined with the actual field survey, the autumn crops planted mainly include pumpkin, eggplant, bean, spinach, common cabbage, carrot, lettuce, radish, Chines...

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Abstract

The present invention belongs to the technical field of remote sensing application, and discloses a vegetable field monitoring method based on multi-source multi-temporal remote sensing image data. The method comprises the steps of: determining a type and a phenological phase of a vegetable field and an interfering ground object, and selecting optimal phases of vegetable field and interfering ground object identification; acquiring multi-source multi-temporal remote sensing image data and service specific vector data; and by using an object-oriented classification method and combining parcel-level cultivated land vector data, performing vegetable field data extraction, and extracting vegetable data according to the two optimal phases and taking an intersection, so as to obtain a vegetable field monitoring result. According to the method, vegetable field monitoring is performed based on multi-source multi-temporal remote sensing image data, so that influence of interfering ground object is effectively reduced, and monitoring precision is improved.

Description

technical field [0001] The invention belongs to the technical field of remote sensing applications, and relates to a vegetable field monitoring method based on multi-source and multi-temporal remote sensing image data. Background technique [0002] Timely and accurate monitoring of vegetable field planting area is of great significance for the rational development of vegetable industry. In terms of remote sensing monitoring of crops, there are many researches on remote sensing monitoring of large field crops such as wheat, rice, and corn, but less research on remote sensing monitoring of vegetable fields. In the past, the remote sensing data source of crop remote sensing monitoring was single, and the monitoring area could not be effectively covered in a short period of time. In addition, human-computer interaction interpretation methods or support vector machine (SVM) automatic classification technology were often used to extract vegetable field information, but the efficie...

Claims

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Application Information

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IPC IPC(8): G06K9/46
CPCG06V10/462
Inventor 纪中奎文强李龙龙周会珍张强乔月霞丁媛关峰张鑫
Owner TWENTY FIRST CENTURY AEROSPACE TECH CO LTD
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