Quality evaluation method for water body mapping product based on remote sensing image
A remote sensing image and product quality technology, applied in image analysis, measuring devices, image data processing, etc., can solve problems such as high cost, inability to provide spatial distribution of product quality, and inability to provide clearer quality information for cartography product improvement, etc. , to achieve the effect of low cost, guaranteed accuracy and fast cost
Inactive Publication Date: 2013-06-19
WUHAN UNIV
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Problems solved by technology
The main limitation of the above method is that the overall status of cartographic products can be understood only through statistical indicators, but the spatial distribution of product quality cannot be provided, so it cannot provide clearer quality information for the improvement of cartographic products
Moreover, the cost of sample selection is relatively high, the rationality of the spatial layout of the sample, the size and homogeneity of the sample will directly affect the reliability of the evaluation results
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[0043] The TM / ETM+water mapping product quality inspection process of embodiment is shown in the appendix figure 1 , the specific implementation process includes the following steps:
[0044] (1) The TM / ETM+ remote sensing image used for water system mapping is subjected to radiometric calibration operation, and the DN value (gray value) of each pixel on the original remote sensing image is converted into the top of the atmosphere reflectance (Top of the Atmosphere ( TOA) reflectance), remember TOA.
[0045] The specific implementation of the radiation calibration operation is to calculate according to the calibration formula, and first obtain the radiance value L , and then according to the radiance value L Finding the top-of-atmosphere reflectance ρ , the calibration formula is as follows:
[0046] (1)
[0047] (2)
[0048] In the formula,
[0049] QCAL is the original quantized DN value;
[0050] LMIN for QCAL radiance value when = 0;
[0051] LMAX f...
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The invention provides a quality evaluation method for a water body mapping product based on a remote sensing image. The method comprises the following steps of: performing radiation calibration operation on the remote sensing image for water body mapping, and acquiring a normalized water body index and a seventh band value of each image element; downloading elevation data in a corresponding areaof a mapping product from shuttle radar topography mission (SRTM) digital elevation model data, resampling the elevation data according to a resolution of the remote sensing image, and generating slope grid data of each image element according to an elevation data resampling result; performing binarization on the water body mapping product, and recording a tagged value acquired through binarization; and integrating the normalized water body index, the seventh band value and the slope grid data, and obtaining a quality evaluation result according to the tagged value.
Description
technical field [0001] The invention belongs to the technical field of quality evaluation of remote sensing image water system mapping products, in particular to a method for evaluating the quality of water system mapping products based on remote sensing images. Background technique [0002] Surface water bodies are an important part of the global water cycle. As global problems such as water resource shortages become more and more serious, their spatial and temporal distributions are increasingly valued by relevant researchers at home and abroad. Related literature: [1] Lu, S., et al., Water body mapping method with HJ-1A / B satellite imagery. International Journal of Applied Earth Observation and Geoinformation, 2011. 13(3): p. 428-434. The rapid development of remote sensing technology makes It is possible to obtain real-time, dynamic, and rapid surface water body information in a large area, and it is widely used in water body distribution mapping, water quality evaluati...
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IPC IPC(8): G01S7/497G01S17/89G06T7/00
Inventor 刘耀林赵翔刘艳芳刘殿锋马潇雅刘中秋王华
Owner WUHAN UNIV