Characteristic image time series synthetic method and apparatus based on multisource moderate resolution

A technology of time series and synthesis method, which is applied in the field of remote sensing image processing, can solve the problems of obvious differences in crop growth, inability to analyze and calculate the amount of data, and inability to reflect the growth status of crops, etc., to achieve seamless synthesis, high time and high spatial resolution The effect of reducing the amount of data processing

Active Publication Date: 2017-06-27
SUZHOU ZHONGKE IMAGE SKY REMOTE SENSING TECH CO LTD +1
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Problems solved by technology

Such a time interval will cause the characteristic index to fail to reflect the crop growth status in the same period, and generally cause significant differences in crop growth in different regions of the study area.
In addition, since the resolution of feature images has been significantly improved compared with traditional time series data, the increase in data volume is also huge, especially large-scale (provincial) time series data will inevitably cause a sharp increase in data volume. Taking Jiangxi Province as an exam

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  • Characteristic image time series synthetic method and apparatus based on multisource moderate resolution
  • Characteristic image time series synthetic method and apparatus based on multisource moderate resolution
  • Characteristic image time series synthetic method and apparatus based on multisource moderate resolution

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Example Embodiment

[0058] Example 1

[0059] Such as figure 1 with figure 2 As shown, the present invention provides a feature image time series synthesis method based on multi-source center division, which includes the following steps:

[0060] S10: Use GF1-WFV, HJ1-A / B, and Landsat to separately collect remote sensing images to form multi-source centrally divided remote sensing images; S20, preprocess the multi-source centrally divided remotely sensed images, and output radiation-normalized time series characteristic images ; S30, extract the cloud coverage area in the time series feature image, divide the extracted cloud-free time series feature image, and output the feature image time series empty tile set; S40, extract the time series feature images collected by MODIS separately The single crop growth curve of several types of crops can generate a multi-crop growth curve library; S50, add the time series empty tile set and the single crop growth curve to the time series feature image with the...

Example Embodiment

[0089] Example 2

[0090] On the basis of Embodiment 1, this embodiment provides a feature image time series synthesis device based on multi-source center division, such as Picture 12 Shown, including:

[0091] The acquisition module 10 is used to output multi-source centrally divided remote sensing images, and the acquisition module 10 includes GF1-WFV, HJ1-A / B and Landsat for acquiring remote sensing images respectively;

[0092] The preprocessing module 20 is used to preprocess the multi-source central remote sensing image, and output the radiation normalized time series characteristic image;

[0093] The dividing module 30 is used for extracting cloud coverage areas in the time series feature images, dividing the extracted cloud-free time series feature images, and outputting the feature image time series empty tile set;

[0094] A multi-crop growth curve database generating module 40, which is used to extract single crop growth curves of several types of crops from the time-seri...

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Abstract

The invention discloses a characteristic image time series synthetic method based on multisource moderate resolution. The method comprises the following steps: acquiring remote sensing images by using GF1-WFV, HJ1-A/B and Landsat separately to form a multisource moderate resolution remote sensing image; preprocessing the multisource moderate resolution remote sensing image and outputting a radiation-normalized time series characteristic image; extracting a cloud cover area in the time series characteristic image, dividing a cloudless time series characteristic image, outputting a characteristic image time series empty tile set; extracting single crop growth curves of a plurality of kinds of crops from the time series characteristic image acquired by MODIS to generate a multi-crop growth curve library; adding the time series empty tile set and the single crop growth curves to the radiation-normalized time series characteristic image to perform time-phase normalization, and constructing a characteristic image time series tile se. The method completes the construction of a characteristic image time series with a large range, a long time series, and a large data volume.

Description

technical field [0001] The present invention relates to the technical field of remote sensing image processing, and more specifically, the present invention relates to a method and device for synthesizing time series of characteristic images based on multi-source middle division. Background technique [0002] Crop planting area is an important basis for formulating grain production policies and determining the quantity of grain trade, and is the basis for the adjustment of agricultural planting structure. The growth of crops has its own laws, and the same crop has a relatively stable growth and development law in the same area. According to the differences in time and biomass in the development process of different crops, combined with some phenological information, time can be used. Sequence remote sensing images classify and identify different crops, so as to achieve the purpose of extracting crop planting information. In this context, the time series data of remote sensi...

Claims

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Application Information

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IPC IPC(8): G06K9/00G01N33/00
CPCG01N33/0004G06V20/188
Inventor 黄启厅王喆骆剑承胡晓东
Owner SUZHOU ZHONGKE IMAGE SKY REMOTE SENSING TECH CO LTD
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