High-resolution-image-based regional adaptive cultivated land extraction method

Abstract

The invention, which belongs to the technical field of remote sensing application, particularly relates to a high-resolution-image-based regional adaptive cultivated land extraction method. The method comprises: pretreatment is carried out on data; multi-scale segmentation is carried out on a high-resolution image, an optimal segmentation scale of cultivated land is determined, and an optimal segmentation layer of cultivated land classification is obtained; a plurality of cultivated land sample sets are constructed at the optimal segmentation layer to form an attribute feature space of each cultivated land sample set; optimal image feature space selection is carried out; according to the optimal image feature spaces, fuzzy classifier of cultivated land extraction are constructed; and on the basis of the cultivated land sampling sets and the fuzzy classifiers, cultivated land extraction is carried out. According to the invention, automatic identification of a cultivated land object is realized by combining the cultivated land sample sets and the fuzzy classifiers. The uniformity of the segmented object of the high-resolution image and the extraction precision of the fuzzy classifier are improved by selecting the optimal segmentation scale and the different cultivated land sample sets; and on the basis of construction of the cultivated land sample sets, the restriction requirements on the time phase and the number of the data source are reduced.

Description

technical field [0001] The invention belongs to the technical field of remote sensing applications, and in particular relates to a region-adaptive cultivated land extraction method based on high-resolution images. Background technique [0002] The rapid and accurate extraction of cultivated land information is of great significance to the dynamic monitoring of cultivated land, the investigation and evaluation of cultivated land fertility, the protection of cultivated land and the delineation of basic farmland, the analysis of the utilization degree of land resources, and precision agriculture. [0003] High-resolution images enhance the internal differences of cultivated land, making the spectral representation of cultivated land coverage more diverse, and increasing the difficulty of accurately extracting cultivated land. At present, there are many methods for extracting cultivated land from high-resolution images, which have the following problems: [0004] 1) The general...

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Problems solved by technology

[0004] 1) The general cultivated land extraction method is based on the growth characteristics of crops, using multi-phase images that match the growth cycle for analysis and research. This method is limited by the time phase and quantity of data sources in terms of promotion;

[0005] 2) The object-oriented cultivated land extraction method is widely used, but its application area is small, the classification process is complicated, the degree of automation is low, and it is not universal and popular

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