Infrared remote sensing water classifier construction method based on transfer learning
A technology of transfer learning and construction method, which is applied in the field of infrared remote sensing water classifier construction, which can solve the problems of inability to learn the classifier and the scarcity of infrared remote sensing image water samples.
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[0049] The present invention will be further described below in conjunction with specific embodiments. The following examples are only used to illustrate the technical solution of the present invention more clearly, but not to limit the protection scope of the present invention.
[0050] Such as figure 1 As shown, a method for constructing an infrared remote sensing water body classifier based on transfer learning includes the following steps:
[0051] (1) Construct a sample set in the visible light source domain and an infrared target domain sample set. These two sample sets include positive samples of water bodies and negative samples of non-water bodies respectively. At the same time, a label set Y is made for the sample sets in the source domain s ;
[0052] (1.1) Given a large-format visible light remote sensing water and land scene image, set its size as 2560×2560, and divide it into 1600 areas (each area is 64×64 in size), p k Indicates the kth area, and all partitio...
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