Detecting method of image object hierarchy change
A technology of change detection and image object, applied in image enhancement, image analysis, image data processing and other directions, can solve the problem of uncertainty of detection results, salt and pepper phenomenon
Active Publication Date: 2014-09-10
SECOND INST OF OCEANOGRAPHY MNR
View PDF2 Cites 1 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
There are still many related research literatures. The change detection methods practiced at home and abroad are basically based on pixel-by-pixel processing. Changes such as the direction of the light source, the position of the sensor, and the impact of changes caused by errors in the detection and transmission process, the above-mentioned effects are manifested in the uncertainty of the detection results, and there are obvious salt and pepper phenomena in the form of expression
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
[0019] Spectral information is based on image pixels, while spatial information exists in the pixel sets of remote sensing images, that is, surface object spots. In fact, when the spatial shape of a patch in the image changes, we can almost be sure that the part or all of the objects corresponding to the patch change, and vice versa. This correspondence exists and is easy to understand. The traditional change detection is based on the spectral information of the pixel. In fact, due to the differences in the imaging conditions of remote sensing images and the differences in the surrounding environment, such as changes in time, seasons, solar altitude angles, and phenology, the spectral values of remote sensing images will change. Even if the ground objects do not change, the corresponding spectral values in the images of different time phases will change. The change of the spectral value is almost absolute, and the spectral changes of different ground objects are different...
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 detecting method of image object hierarchy variation, which comprises the following steps of: firstly obtaining remote sensing image data of two time phases in the same area, carrying out image registration to lead space positions to be basically consistent; then carrying out optimal image segmentation on remote sensing images of the two time phases by adopting a scale self-adapting image segmentation method; setting a dominant polygon condition, and identifying and detecting dominant polygons from the optimal image segmentation results of the two time phases; carrying out superposition analysis based on grids on the dominant polygons, and identifying and detecting dominant polygons from superposition analysis results; identifying the shape variation of the dominant polygons of the two time phases from the superposition analysis results; counting variation detecting data between the two existing images by using the polygons as units; and further labeling the variation detecting data as a polygon space variation part and a polygon space unvaried part. The detecting method not only can detect whether the shape of ground object space varies in the image variation process, but also can supply space change information.
Description
technical field [0001] The present invention relates to a method for detecting changes in remote sensing images, in particular to a method that can use the segmentation results of remote sensing images of different time phases to effectively identify changes in ground features by using the difference in spatial information of features in the image as desired A method for change detection in remote sensing images. Background technique [0002] The emergence of remote sensing technology has changed the way humans observe the earth; the acquisition of repeatable remote sensing data enables humans to have a new way to understand the dynamic changes of the surface environment. With the development of remote sensing technology, the spatial resolution of optical remote sensing images has been increased from the initial hundred-meter level to meter-level or even higher; multi-temporal remote sensing image data of the same area can be obtained repeatedly, and the revisit cycle has al...
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 Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G06T5/00
Inventor 陈建裕朱乾坤黄海清
Owner SECOND INST OF OCEANOGRAPHY MNR