Hyperspectral oil spilling information extraction method
A hyperspectral oil spill and information extraction technology, applied in the field of hyperspectral oil spill information extraction, can solve the problems of increased redundancy between bands, slow processing speed, large data volume, etc., to reduce the number of bands, reduce data dimensions, The effect of reducing the influence of noise
Inactive Publication Date: 2014-02-05
DALIAN MARITIME UNIVERSITY
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Due to the multi-band characteristics of hyperspectral images, and the increase in redundancy between bands, the amount of data is large, and the processing speed of conventional multi-spectral remote sensing classification methods is very slow.
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[0024] The present invention will be further described below in conjunction with accompanying drawing. Such as figure 1 As shown, the present invention first preprocesses the data of the airborne visible / infrared imaging spectrometer (AirborneVisibleInfraredImagingSpectrometer, AVIRIS), including radiation correction, atmospheric correction, mask processing, etc.; Thus, the MNF image is obtained. The first N bands of the image concentrate most of the information in the original data, while the remaining bands are mostly noise information and do not participate in subsequent processing; in order to more accurately identify objects and targets, extract MNF endmember features value curve; establish a classification decision tree based on MNF by analyzing the MNF eigenvalue curve (such as figure 2 shown), so as to realize the extraction of oil spill information.
[0025] On the preprocessed AVIRIS data, the known typical object types are selected as the interest area, includin...
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The invention discloses a hyperspectral oil spilling information extraction method which comprises the following steps: original remote sensing images are preprocessed; the preprocessed images are subjected to minimum noise fraction (MNF) to obtain MNF characteristic value images; various ground object target regions of interest are established to obtain a distribution diagraph of the regions of interest; differences between MNF characteristic value curves of all ground object targets are analyzed, optimal wavebands or waveband combination modes of all the ground object targets are determined and distinguished, and threshold values of all the ground object targets are determined and distinguished; a classification decision-making tree is established for the MNF characteristic value images to classify the MNF characteristic value images, and then oil spilling information is obtained. According to the hyperspectral oil spilling information extraction method, the preprocessed remote sensing images are subjected to MNF, an original data volume is reduced, the number of wavebands of the images is reduced, and therefore data dimensions are reduced. Moreover, influence of noise signals is eliminated through MNF, and the noise effect is weakened. By means of the hyperspectral oil spilling information extraction method, the data processing volume is reduced, the data processing speed is increased, tiny differences between categories can be identified, and identification accuracy is improved.
Description
technical field [0001] The invention relates to the technical field of marine environment monitoring, in particular to a method for extracting hyperspectral oil spill information. Background technique [0002] The emergence of hyperspectral remote sensing is a technological revolution in the field of remote sensing. It originated from the multispectral remote sensing technology in the early 1970s. It enables substances that were originally undetectable in broadband remote sensing to be detected in hyperspectral remote sensing. [0003] In the field of remote sensing monitoring of oil slicks, multi-spectral sensors have low spectral resolution and a small number of bands, and often have the phenomenon of the same object with different spectra, and the same spectrum with different objects, which affects the monitoring and identification of oil slick targets. On the other hand, the complex marine environment will affect the spectral characteristics of the oil film and reduce th...
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IPC IPC(8): G06K9/46G06F9/54
Inventor 李颖刘丙新刘瑀
Owner DALIAN MARITIME UNIVERSITY