Satellite remote sensing image cloud amount calculation method on the basis of random forest

Abstract

The present invention discloses a satellite remote sensing image cloud amount calculation method on the basis of random forest. The satellite remote sensing image cloud amount calculation method on the basis of random forest comprises six steps: sample acquisition, feature extraction, image classifier training, segmentation of image to be measured, image classification, cloud amount calculation and the like. Through adoption of the method provided by the invention, multiple detections may be performed after training just once, an image classifier is obtained through a large number of image trainings, and the image classifier may be used again when cloud detection is performed. The random forest algorithm is low in time complexity at the prediction classification stage, and the cloud zone detection may be rapidly carried out. Through the test, the method provided by the invention is applicable to panchromatic images (ten-dimensional characteristic vector) and also applicable to n-channel multispectral images (10n-dimensional characteristic vector), and has been applied to an actual quality control system of satellite image products, so that the cloud detection of remote sensing images of multiple domestic satellites such as the resource satellite-3, mapping satellite-1, GF-1 and the like are performed, wherein the accuracies reach, respectively, 91%, 88% and 92.4%.

Description

technical field [0001] The invention belongs to the technical field of quality inspection of satellite remote sensing images, and in particular relates to a cloud amount calculation method for satellite remote sensing images based on random forests. Background technique [0002] In satellite remote sensing images, the existence of cloud areas will have a great adverse effect on the image quality and subsequent information processing. Therefore, the detection and identification of cloud cover is one of the main problems in the application field of satellite remote sensing images. The remote sensing cloud detection technology can be used to delete the data in the area where the cloud is located in the satellite remote sensing image, greatly reducing the amount of data, and avoiding the invalid data with excessive cloud cover occupying the storage space, processing power and transmission bandwidth of the system. It has on-orbit applications on satellites There are two applicati...

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