CN105224938A - The modification method of remote sensing images land use classes result - Google Patents
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Abstract
The present invention relates to image processing field, provide a kind of modification method of remote sensing images land use classes result, the method comprises definition solution space, utilizes the method being suitable for searching for organize solution space, utilize depth-first traversal solution space.The technical scheme that the present invention proposes more is conducive to the correction of the low classification of nicety of grading, and adjustment in accuracy is according to being conducive to the lower direction running of automatic recognition classification precision, is therefore more conducive to the classify accuracy balancing each atural object classification.
Description
Technical field
The present invention relates to image processing field, particularly a kind of modification method of remote sensing images land use classes result.
Background technology
Land_use change is often referred to the different attribute of the mankind for different soil, in order to economy and the object of society, adopt various technological means, in soil enterprising line period or long-term various activities reach needed for the mankind.It is the overriding concern factor of carrying out scientific management and decision-making in resources and environmental protection that Land Use/land covers (LandUseandLandCover, be called for short LULC) Changeement.Utilizing remotely-sensed data to carry out the variation monitoring research of Land_use change and land cover pattern, there is following shortcoming in the object oriented classification result data based on fuzzy mathematics thought:
(1) the impact of " the different spectrum of jljl, foreign matter is with spectrum " phenomenon, atural object classification border mixed pixel is more, makes the partitioning boundary of some types of ground objects undesirable, often classifies inaccurate by the result that algorithm extracts;
(2) there is " salt-pepper noise " phenomenon, existing of broken thin objects is outdated, causes and produce the less object of fragmentary distribution area on the same atural object in same region;
(3) the impact of shade.Often there is shade in the back on mountain range, in brightness value with average all with classify not too consistent under normal circumstances, affect the effect of automatic classification;
(4), there are some mistakes unavoidably and divide or leak the phenomenon of dividing in large area automatic classification.
At present, in order to improve classification progress, sorting technique can only be changed.
Summary of the invention
[technical matters that will solve]
The object of this invention is to provide a kind of modification method of remote sensing images land use classes result, go out to send correction nicety of grading from this angle of classification results.
[technical scheme]
The present invention is achieved by the following technical solutions.
The present invention relates to a kind of modification method of remote sensing images land use classes result, the method comprising the steps of:
A, definition solution space, described solution space comprises the type of ground objects in the terrain classification result of remote sensing images;
B, organize solution space according to the land classification result of Land_use change and land cover dynamic Changing Pattern and different year, the land classification result of described different year comprises land classification result as a certain time of modified basis and the land classification result in a certain time to be revised, and described solution space comprises the possible variation tendency of each type of ground objects in each time;
C, searching route is set according to the solution space organized in step B and according to searching route ergodic solutions space, the method in described ergodic solutions space is: from the land classification result in a certain time as modified basis, select a type of ground objects, the classification results treating a certain time of correction one by one carries out searching for and marks the object searched, and repeats this operation until all selected as all types of ground objects in the land classification result in a certain time of modified basis;
D, OO remote sensing image fuzzy classifier method is adopted to classify to the object marked in step C, revise the object of classification error in the classification results in a certain time to be revised, and give the classification results in a certain time to be revised revised result and obtain final classification results.
As one preferred embodiment, described type of ground objects comprises forest land, meadow, wetland, arable land, artificial surface, unused land.
[beneficial effect]
The technical scheme that the present invention proposes has following beneficial effect:
Backtracking modification method of the present invention is more conducive to the correction of the low classification of nicety of grading, and adjustment in accuracy is according to being conducive to the lower direction running of automatic recognition classification precision, therefore more can also be conducive to the classify accuracy balancing each atural object classification.
Accompanying drawing explanation
Fig. 1 is the backtracking disaggregation figure of the embodiment of the present invention.
Fig. 2 is the backtracking traverse path figure of the embodiment of the present invention.
Embodiment
For making the object, technical solutions and advantages of the present invention clearly, carry out clear, complete description by the specific embodiment of the present invention below.
Embodiment
The embodiment of the present invention is revised remote sensing images land use classes result based on the present invention is based on backtracking method, backtracking method is also commonly called as trial method, problem candidate solution is checked by setting order and is exemplified by successively, if candidate solution does not satisfy condition, then abandon this candidate solution, and select next retrieval direction; If this candidate solution relieves also do not meet current needs, just expand current candidate solution scale, continued checking.If this candidate solution meets all conditions comprising problem scale, this candidate solution is exactly required solution.In this process, the candidate solution do not satisfied condition is removed, selects the flow process of next candidate solution to be just called backtracking, expand current candidate solution scale, the exploration process having continued checking is called that forward direction is soundd out.
Particularly, in the present embodiment, suppose the land use classes figure having obtained now nineteen ninety, 2000 and 2010, need now to utilize the land use classes figure of the land use classes figure of 2010 to nineteen ninety, 2000 to revise.Modification method comprises definition solution space, utilizes the method being suitable for searching for organize solution space, utilize depth-first traversal solution space.Respectively each step of modification method is described in detail below.
First solution space is defined.Particularly, according to the terrain classification result of remote sensing images, the present embodiment have employed Chinese Academy of Sciences's land use classification system, is divided into six parts: forest land, meadow, wetland, and plough, artificial surface, unused land, so solution space is defined as this 6 class atural object.
Then the method being suitable for searching for is utilized to organize solution space.Particularly, according to the Changing Pattern that Land_use change and land cover dynamic change, the land use classes figure of different year contrasts, by analyzing the change of often kind of atural object, to be exactly the atural object of analyzing change be specifically by which kind of feature changes original formed organize solution space, as shown in Figure 1.
Secondly, searching route is set.As shown in Figure 2, ImagesPos (image traversal pointer) searches for nineteen ninety classification results data one by one according to the class categories of 2010, direction is-90 years forest lands, 10 years forest lands,-90 years meadows, 10 years forest lands,-90 years wetlands in 10 years forest lands, plough in 10 years forest lands for-90 years ,-90 years artificial surfaces in 10 years forest lands, 10 years forest lands-90 years other.Then, change 10 years atural object classifications, then 90 years atural object is traveled through, the like, reach whole solution space traversal.Particularly, travel through whole area image according to Fig. 2, and the object that demarcation searches is 10**-90**, is 10 forest lands as searched object, 90 meadows, then demarcating object is 10 meadows, forest land-90, by that analogy.Due to traversal tagged object be all can very clear resolution be whether the object of corresponding atural object, so again adopt OO remote sensing image fuzzy classifier method to classify to tagged object, just can revise the object by mistake divided with wrong point, again revised result is given on 90 years classification images, just obtain final correction result.
The precision change that front and back are revised in backtracking is as shown in table 1.
Table 1 precision evaluation statistical form
After revising front and correction from backtracking, precision result compares, wetland adjustment in accuracy amplitude is slightly low, unused land precision increase rate is maximum, this illustrates that the backtracking modification method in the embodiment of the present invention is more conducive to the correction of the low classification of nicety of grading, and adjustment in accuracy is according to being conducive to the lower direction running of automatic recognition classification precision, is therefore more conducive to the classify accuracy balancing each atural object classification.
Need to illustrate, the embodiment of foregoing description is a part of embodiment of the present invention, instead of whole embodiment, neither limitation of the present invention.Based on embodiments of the invention, those of ordinary skill in the art, not paying the every other embodiment obtained under creative work prerequisite, belong to protection scope of the present invention.
Claims (2)
1. a modification method for remote sensing images land use classes result, is characterized in that comprising step:
A, definition solution space, described solution space comprises the type of ground objects in the terrain classification result of remote sensing images;
B, organize solution space according to the land classification result of Land_use change and land cover dynamic Changing Pattern and different year, the land classification result of described different year comprises land classification result as a certain time of modified basis and the land classification result in a certain time to be revised, and described solution space comprises the possible variation tendency of each type of ground objects in each time;
C, searching route is set according to the solution space organized in step B and according to searching route ergodic solutions space, the method in described ergodic solutions space is: from the land classification result in a certain time as modified basis, select a type of ground objects, the classification results treating a certain time of correction one by one carries out searching for and marks the object searched, and repeats this operation until all selected as all types of ground objects in the land classification result in a certain time of modified basis;
D, OO remote sensing image fuzzy classifier method is adopted to classify to the object marked in step C, revise the object of classification error in the classification results in a certain time to be revised, and give the classification results in a certain time to be revised revised result and obtain final classification results.
2. the modification method of remote sensing images land use classes result according to claim 1, is characterized in that described type of ground objects comprises forest land, meadow, wetland, arable land, artificial surface, unused land.
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