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A remote sensing surface temperature downscaling algorithm based on an object-oriented window

A surface temperature, object-oriented technology, applied in computing, image data processing, instruments, etc., can solve the problem of low resolution of near-infrared images, and achieve the effect of improving accuracy

Inactive Publication Date: 2019-05-10
BEIJING NORMAL UNIVERSITY
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  • Application Information

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Problems solved by technology

[0005] Due to the limitation of sensor technology, the resolution of thermal infrared images is often lower than that of visible light and near-infrared images.

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  • A remote sensing surface temperature downscaling algorithm based on an object-oriented window
  • A remote sensing surface temperature downscaling algorithm based on an object-oriented window
  • A remote sensing surface temperature downscaling algorithm based on an object-oriented window

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Embodiment Construction

[0032] The invention provides an object-oriented window-based remote sensing surface temperature downscaling algorithm, which includes extracting an object-oriented window; and space downscaling of the surface temperature. The details will be described below.

[0033] 1. Object-oriented window extraction

[0034] The present invention adopts the most widely used simple linear iterative clustering (SLIC) superpixel segmentation algorithm to obtain superpixels, and uses each superpixel as an object-oriented window. The data used to extract superpixels is low-resolution temperature data. The optimal object-oriented window size is obtained by the following empirical formula,

[0035] SEG 最优 =k·R 低 / R 高 +b (1)

[0036] In the formula, SEG 最优 is the number of high-resolution pixels in the optimal object-oriented window, R 低 and R 高 are the low-resolution and high-resolution sizes respectively, and k and b are the slope and intercept of the above formula. The present invent...

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Abstract

The invention provides a remote sensing surface temperature downscaling algorithm based on an object-oriented window. The algorithm comprises the steps of extracting an object-oriented window and a surface temperature space downscaling; according to the invention, the object-oriented window is obtained through the segmentation algorithm, and the more uniform object-oriented window is obtained, sothat the attributes of pixels in the window can tend to be consistent; and then the regression process of the regression kernel and the surface temperature is realized in an object-oriented window, sothat the downscaling precision is improved. An object-oriented more uniform window is obtained by using a segmentation algorithm, and compared with a global window and a local window, the method is more suitable for a heterogeneous region.

Description

technical field [0001] The invention relates to an object-oriented window-based remote sensing surface temperature downscaling algorithm. Background technique [0002] Land surface temperature (LST) is an important parameter in environmental research. It can be used to model radiative transfer and energy budgets, retrieve surface carbon, and monitor urban heat islands. It can also be used for forest fire detection and as an indicator of climate change, among other things. [0003] Thermal infrared images with high spatial resolution obtained from satellite observations are helpful for environmental studies based on surface temperature. However, due to the limitations of sensor technology, the spatial resolution of thermal infrared images is generally lower than that of visible near-infrared images. Therefore, it is currently the most widely used method to increase the spatial resolution of thermal infrared images to the same spatial resolution level as that of visible and...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T3/40G06T7/10
Inventor 陈云浩夏海萍梁龙万意李京
Owner BEIJING NORMAL UNIVERSITY