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

A technology of satellite remote sensing images and calculation methods, which is applied in the field of quality inspection of satellite remote sensing images, and can solve problems such as lack of general system methods, individual texture or brightness or frequency characteristics, poor versatility, etc.

Active Publication Date: 2016-01-20
经通空间技术(河源)有限公司
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Problems solved by technology

The spectral threshold-based method is based on the reflection characteristics and temperature characteristics of the cloud itself, using the reflectivity of the cloud under different band spectra, and artificially setting the spectral threshold to detect, but the actual cloud area is affected by factors such as seasons, atmospheric environment, and geographical location. The instability of the method makes the method too complex and not strong in adaptability; the method based on the image feature extracts the gray scale, frequency, texture and other features of the image, and detects the cloud through the classification of the features contained in the cloud image, but due to the cloud and ground objects There are overlapping phenomena in some features, and the detection results depend on the validity, weak correlation, and integrity of the selected features; the comprehensive method uses the spectral threshold method for initial detection, screens out candidate cloud areas, and then uses t

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

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[0082] In order to facilitate those of ordinary skill in the art to understand and implement the present invention, the present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. The implementation examples described here are only used to illustrate and explain the present invention, but do not limit the scope of the present invention. protected range.

[0083] The present invention takes the panchromatic image data of Ziyuan No. 3 satellite as an example, please refer to figure 1 , a kind of satellite remote sensing image cloud amount calculation method based on random forest provided by the invention, comprises the following steps:

[0084] Step 1: sample acquisition;

[0085] Segment the remote sensing cloud image into 32×32 pixel samples, and select 1024 cloud samples and surface object samples as the training set. Among them, cloud samples include thin clouds, point clouds, thick cumulus clouds, etc. , moun...

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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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Application Information

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IPC IPC(8): G06K9/00G06K9/46G06K9/62
CPCG06V20/13G06V10/56G06F18/2413G06F18/241
Inventor 易尧华袁媛张宇申春辉丰立昱
Owner 经通空间技术(河源)有限公司
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