Beet identification method based on single-time-sequence NDVI

Abstract

The invention belongs to the technical field of remote sensing image recognition, and discloses a beet recognition method based on single-time-sequence NDVI, and the method comprises the steps: obtaining near-infrared band, red light band and remote sensing image data; screening spectral characteristics of crops, finding out a period with the most obvious beet spectral characteristic value, and carrying out single-time-sequence NDVI inversion analysis; carrying out statistical analysis on altitude and slope information of all beet plots; taking single-time-sequence remote sensing data as basicdata, importing the obtained GPS coordinate information into an image, performing classification by using a supervision classification method, and identifying beet in a research area by using a random forest classifier to form an identification result graph; performing cumulative statistics on the single-time-sequence NDVI image data, and determining a lower limit threshold value and an upper limit threshold value of crop classification; and taking the altitude, the gradient and the preliminary classification threshold of the random forest classifier as screening conditions through a classification tree method. According to the invention, the beet recognition rate is improved to the greatest extent.

Description

technical field [0001] The invention belongs to the technical field of remote sensing image recognition, in particular to a sugar beet recognition method based on single-time series NDVI. Background technique [0002] Sugar beet is the second largest sugar-producing crop in my country and an important economic crop in the northern region. Chifeng is one of the main sugar beet producing areas in the Inner Mongolia Autonomous Region, and the main cultivated crops are corn and sugar beet. Affected by the continued slump in corn prices, some major corn-producing areas have vigorously developed sugar beet planting, with significant benefits. Under the background of national macro-agricultural reduction of corn planting, sugar beet is one of the very good alternative crops. Sugar beet has become the only bulk agricultural product in the north that has been purchased at a guaranteed price all year round. The beet sugar industry has all realized order planting, and by the way, it ...

AI Technical Summary

Problems solved by technology

[0006] (1) In the existing technology, the management cost of farmers increases, which greatly increases the risk of disease occurrence, reduces the yield and quality of beets, reduces the production efficiency of sugar factories, and ultimately has a negative impact on the entire sugar beet sugar industry

[0007] (2) The traditional field survey and statistics of sugar beet plots by farmers not only consumes a lot of manpower and material resources, but also has low timeliness

[0009] (1) Remote sensing data collection. Currently, there is no relevant research on sugar beet identification based on remote sensing satellite data. All data needs to be collected month by month to find the best identification period;

[0010] (2) There is a problem that different objects have the same spectrum in remote sensing object recognition, that is, different objects have the same spectral characteristics, which reduces the recognition accuracy of sugar beets;

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