Multisource remote sensing sequence image-based dynamic monitoring method

A dynamic monitoring and remote sensing image technology, applied in the field of spatial information, can solve problems such as inaccurate monitoring results

Inactive Publication Date: 2018-02-16
BEIHANG UNIV +1
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Problems solved by technology

The existing multi-temporal remote sensing image dynamic monitoring method can not only monitor the long-term change trend of the research area, but also detect the occurrence of mutations and the real-time growth dynamics of crops, etc. The method of introducing multi-so

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  • Multisource remote sensing sequence image-based dynamic monitoring method

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Embodiment 1

[0112] Perform a series of preprocessing on remote sensing images such as radiation correction, relative radiation normalization, geometric registration and correction, image cloud removal, image strip removal, image mosaic and cropping, etc., to obtain spectral consistency, high-precision registration, and reflect the true Spectral value of the object. For remote sensing images with large differences in spectral values ​​from different sensors, and ideal spectral values ​​cannot be obtained through relative radiation normalization processing, the proposed enhanced multi-source remote sensing image fusion method based on spatio-temporal distribution - eMulTiFuse, is used for multi-source remote sensing image fusion. Obtain remote sensing images with larger similarity spectral values. Calculate the normalized normalized vegetation index on the time series remote sensing images to obtain the normalized normalized vegetation index image sequence, and then perform bilateral trend ...

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Abstract

The invention relates to a multisource remote sensing sequence image-based dynamic monitoring method, and aims at effectively utilizing space information of data to improve fusion methods, reduce feature differences among multisource remote sensing images and improve the dynamic monitoring effect. The method comprises the following steps of: firstly constructing multisource remote sensing image sequences, and preprocessing sequence remote sensing images by adoption of a proper image preprocessing method so as to ensure that the remote sensing image sequences have the features such as consistent image radiation characteristic, relatively high image registration precision and the like; fusing the remote sensing image sequences on the basis of space-time distribution-based enhanced multisource remote sensing image fusion method-eMulTiFuse, so as to ensure that time sequences have more similar space features; and finally dynamically monitoring time sequence remote sensing images by adoption of a Mann-Kendall trend detection method on the basis of pixel features, so as to obtain a monitoring result. The method has relatively high correctness.

Description

1. Technical field [0001] The invention relates to a dynamic monitoring method applicable to multi-source time series remote sensing images, belonging to the technical field of spatial information. 2. Background technology [0002] At present, the dynamic monitoring based on time-series remote sensing images is mostly of medium and low resolution (especially MODIS time series), and the dynamic monitoring of single-source time-series remote sensing images is the main one. Single-source time series remote sensing images have more or less polluted areas such as no value, bad value, cloudy fog, etc., especially in warm and humid areas (such as Chongqing, Sichuan, Guizhou, Yunnan, etc.) are often disturbed by clouds and fog Therefore, the remote sensing images acquired by only one satellite are often difficult to meet the dynamic monitoring of this place. Studies have shown that when the time interval of cloud-free image data is longer than two years, the accuracy of dynamic mon...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/36G06K9/62
CPCG06V20/13G06V10/20G06F18/23G06F18/24G06F18/251
Inventor 谭玉敏白冰心郭栋魏东亮
Owner BEIHANG UNIV
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