Multi-temporal remote sensing image change detection method based on non-negative matrix decomposition and nucleus FCM
A non-negative matrix decomposition, remote sensing image technology, applied in the multi-temporal remote sensing image change detection based on non-negative matrix decomposition and nuclear FCM, multi-temporal high-resolution optical remote sensing image change detection field, can solve the multi-temporal high-resolution multi-phase change detection. The problem of low detection accuracy of spectral remote sensing image changes, to achieve the effect of robustness and reliable results
Active Publication Date: 2017-02-01
HOHAI UNIV
View PDF7 Cites 6 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
[0005] The technical problem to be solved by the present invention is to provide a multi-temporal remote sensing image change detection method based on non-negative matrix decomposition and kernel FCM, which solves the problem of low detection accuracy of multi-temporal high-resolution multi-spectral remote sensing image changes
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0030] Embodiments of the invention are described in detail below, examples of which are illustrated in the accompanying drawings. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention.
[0031] In view of the complex background information and serious noise interference of high spatial resolution remote sensing images, the problems faced by change detection are difficult to solve by conventional change detection methods. The present invention first fuses the change vector magnitude (Magnitudes of ChangeVectors, MCV) of the multi-temporal remote sensing image and the spectral angle map (Spectral Angle Mapper, SAM) of the multi-temporal phase based on the non-negative matrix factorization (Non-NegativeFactorization, NMF) algorithm, and then The fusion result is used as the input of kernel FCM, and the final change detection result is obtained based on the ...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The invention discloses a multi-temporal remote sensing image change detection method based on non-negative matrix decomposition and nucleus FCM. According to the method, first of all, change vector amplitude of multi-temporal remote sensing images and a multi-temporal spectrum angle mapping graph are fused based on a non-negative matrix decomposition algorithm, then a fusion result is taken as input of the nucleus FCM, then based on a method of combining the nucleus FCM with space neighborhood information, a final change detection result is obtained. In change detection based on the nucleus FCM, the change vector amplitude and the spectrum angle mapping graph are combined as the input, and by use of such two features, the method provided by the invention is better than an FCM method only using the change vector amplitude. In the change detection, by use of a pseudo training sample and also a change index criterion, correlation parameters of the detection method combining the nucleus FCM with the neighborhood space information are adaptively selected, and the change detection result can be more reliable and is also more stable.
Description
technical field [0001] The invention relates to a multi-temporal high-resolution optical remote sensing image change detection method, in particular to a multi-temporal remote sensing image change detection method based on non-negative matrix decomposition and kernel FCM, and belongs to the technical field of remote sensing image processing. Background technique [0002] With the continuous accumulation of multi-temporal high-resolution remote sensing data and the successive establishment of spatial databases, how to extract and detect change information from these remote sensing data has become an important research topic in remote sensing science and geographic information science. According to remote sensing images of different time phases in the same area, dynamic information such as cities and environments can be extracted to provide scientific decision-making basis for resource management and planning, environmental protection and other departments. my country's "Twelf...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More IPC IPC(8): G06T7/00G06K9/62
CPCG06T2207/30181G06T2207/10036G06F18/23213
Inventor 石爱业储艳丽
Owner HOHAI UNIV