CN108062747A - The processing method and system of a kind of remote sensing image - Google Patents
The processing method and system of a kind of remote sensing image Download PDFInfo
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- CN108062747A CN108062747A CN201711459016.9A CN201711459016A CN108062747A CN 108062747 A CN108062747 A CN 108062747A CN 201711459016 A CN201711459016 A CN 201711459016A CN 108062747 A CN108062747 A CN 108062747A
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- 238000012937 correction Methods 0.000 claims abstract description 18
- 238000006243 chemical reaction Methods 0.000 claims abstract description 13
- 230000015572 biosynthetic process Effects 0.000 claims abstract description 5
- 238000000034 method Methods 0.000 claims abstract description 5
- 238000003786 synthesis reaction Methods 0.000 claims abstract description 5
- 238000010606 normalization Methods 0.000 claims description 9
- 230000002708 enhancing effect Effects 0.000 claims description 6
- 238000007781 pre-processing Methods 0.000 claims description 4
- 230000005540 biological transmission Effects 0.000 claims description 3
- 238000012986 modification Methods 0.000 description 2
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/80—Geometric correction
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/30—Determination of transform parameters for the alignment of images, i.e. image registration
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10032—Satellite or aerial image; Remote sensing
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20092—Interactive image processing based on input by user
- G06T2207/20104—Interactive definition of region of interest [ROI]
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20172—Image enhancement details
- G06T2207/20182—Noise reduction or smoothing in the temporal domain; Spatio-temporal filtering
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Abstract
The invention discloses the processing method and system of a kind of remote sensing image in Remote Sensing Image Processing Technology field, this method is as follows：S1：Remotely-sensed data resolves into remote sensing image and telemetry by data conversion module；S2：Subsequent picture pretreatment unit completes the pretreatment operation to remote sensing images, enhances the interested information of Graphical User, improves remote sensing image quality；S3：The preliminary corrections to telemetry and remote sensing images are completed using the geometric correction module of system, realize the matching of image coordinate and geographical coordinate；S4：Remote sensing image after corrected completes registration and the synthesis of image by image registration unit, and generate panorama remote sensing image, the present invention can realize that multitask integrates and data sharing, reduce the complexity of system, the system features in convenient, it is fast to the processing speed of original remote sensing image, the memory space of hard disk is greatly saved.
Description
Technical field
The invention discloses the processing methods and system of a kind of remote sensing image, are specially Remote Sensing Image Processing Technology field.
Background technology
The technology of different advantages of the integrated application multisensor remotely-sensed data in time, space, spectral resolution is that is, more
Source Remote Sensing Data Fusion Algorithm technology develops since the 1980s, it is therefore an objective to by the processing to multiple sensors data, carry
The spatially and spectrally resolution ratio of high remotely-sensed data.Fusion method more mature at present has：IHS conversion, principal component transform, small echo
Conversion and high-pass filtering etc., but these methods are mainly used for merging the panchromatic ripple of high spatial resolution at same or close moment
Section image and the multi light spectrum hands image compared with low spatial resolution, result images are the high spatial resolution mostly light of synchronization
Compose image.But the image detail and bad of its generation.For this purpose, processing method and system we have proposed a kind of remote sensing image
It comes into operation, to solve the above problems.
The content of the invention
It is an object of the invention to provide the processing method and system of a kind of remote sensing image, to solve in above-mentioned background technology
The problem of proposition.
To achieve the above object, the present invention provides following technical solution：A kind of processing method of remote sensing image, this method
It is as follows：
S1：Remotely-sensed data resolves into remote sensing image and telemetry by data conversion module；
S2：Subsequent picture pretreatment unit completes the pretreatment operation to remote sensing images, and enhancing Graphical User is interested
Information improves remote sensing image quality；
S3：The preliminary corrections to telemetry and remote sensing images are completed using the geometric correction module of system, realize figure
As the matching of coordinate and geographical coordinate；
S4：Remote sensing image after corrected completes registration and the synthesis of image by image registration unit, and generates complete
Scape remote sensing image.
Preferably, in the step S2, dry, image enhancement and gray scale tune are gone including image to the pretreatment of remote sensing images
Whole content.
Preferably, the gray scale adjustment is as follows：
S21：Calculate the average u and variances sigma of gradation of image
Wherein, (M, N) is picture size, and f (i, j) is gray scale or brightness value of the image at coordinate (i, j)；
S22：Gray scale normalization is carried out to original image, if f (x, y), u, σ are respectively gray scale or the brightness of original image
Value, average and standard deviation, then gradation of image or brightness value f ' (x, y) after normalizing meet following formula
Image average after normalization is O, variance 1；
S23：Gray scale stretching and contrast enhancing are carried out to the image after normalization
Wherein, f " (x, y) is the gray scale or brightness value of the image that ultimately generates at coordinate (x, y), max (f '), min
(f ') is respectively the maximum and minimum value of image f ', and M is the maximum represented by computer, is defaulted as 255.
Preferably, a kind of processing system of remote sensing image, including data conversion module, the data conversion module is electric respectively
Property output connection image pre-processing unit and geometric correction module, described image pretreatment unit electrically export connection geometric correction
Module, the geometric correction module electrically export connection figure as registration unit and target locating module, described image registration respectively
Unit electrically exports linking objective locating module, and the also electrically output connection image management application of described image registration unit is described
Target locating module electrically exports linking objective output module.
Preferably, the target output module is connected by way of wireless transmission with monitor terminal, and monitor terminal is
Personal hand-held terminal or individual PC.
Compared with prior art, the beneficial effects of the invention are as follows：The present invention can realize that multitask integrates and data sharing,
The complexity of system is reduced, the system features in convenient is fast to the processing speed of original remote sensing image, and hard disk is greatly saved
Memory space.
Description of the drawings
Fig. 1 is present system functional block diagram.
Specific embodiment
Below in conjunction with the attached drawing in the embodiment of the present invention, the technical solution in the embodiment of the present invention is carried out clear, complete
Site preparation describes, it is clear that described embodiment is only part of the embodiment of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, those of ordinary skill in the art are obtained every other without making creative work
Embodiment belongs to the scope of protection of the invention.
Referring to Fig. 1, the present invention provides a kind of technical solution：A kind of processing method of remote sensing image, this method it is specific
Step is as follows：
S1：Remotely-sensed data resolves into remote sensing image and telemetry by data conversion module；
S2：Subsequent picture pretreatment unit completes the pretreatment operation to remote sensing images, and enhancing Graphical User is interested
Information improves remote sensing image quality, and image is included to the pretreatment of remote sensing images and is gone in dry, image enhancement and gray scale adjustment
Hold, gray scale adjustment is as follows：
S21：Calculate the average u and variances sigma of gradation of image
Wherein, (M, N) is picture size, and f (i, j) is gray scale or brightness value of the image at coordinate (i, j)；
S22：Gray scale normalization is carried out to original image, if f (x, y), u, σ are respectively gray scale or the brightness of original image
Value, average and standard deviation, then gradation of image or brightness value f ' (x, y) after normalizing meet following formula
Image average after normalization is O, variance 1；
S23：Gray scale stretching and contrast enhancing are carried out to the image after normalization
Wherein, f " (x, y) is the gray scale or brightness value of the image that ultimately generates at coordinate (x, y), max (f '), min
(f ') is respectively the maximum and minimum value of image f ', and M is the maximum represented by computer, is defaulted as 255；
S3：The preliminary corrections to telemetry and remote sensing images are completed using the geometric correction module of system, realize figure
As the matching of coordinate and geographical coordinate；
S4：Remote sensing image after corrected completes registration and the synthesis of image by image registration unit, and generates complete
Scape remote sensing image.
The present invention also provides a kind of processing systems of remote sensing image, including data conversion module, the data conversion mould
Electrically output connection image pre-processing unit and geometric correction module, described image pretreatment unit electrically export connection to block respectively
Geometric correction module, electrically output connection figure is described as registration unit and target locating module respectively for the geometric correction module
Image registration unit electrically exports linking objective locating module, and also electrically output connection image management should for described image registration unit
With the target locating module electrically exports linking objective output module.
Wherein, the target output module is connected by way of wireless transmission with monitor terminal, and monitor terminal is a
Human hand held terminal or individual PC.
Specifically, in use, remotely-sensed data is converted into remote sensing image and telemetry, remote sensing using data conversion module
Image carries out original image image by image pre-processing unit and dry, image enhancement and gray scale is gone to adjust, and enhancing image is used
The interested information in family improves remote sensing image quality, is completed followed by geometric correction module to telemetry and remote sensing figure
The preliminary corrections of picture realize the matching of image coordinate and geographical coordinate, and after the completion of processing, image is completed by image registration unit
Registration and synthesis, and panorama remote sensing image is generated, the positioning of image is carried out via target locating module, is then exported by target
Module exports, and the present invention can realize that multitask integrates and data sharing, reduce the complexity of system, the system operatio side
Just, it is fast to the processing speed of original remote sensing image, the memory space of hard disk is greatly saved.
It although an embodiment of the present invention has been shown and described, for the ordinary skill in the art, can be with
Understanding without departing from the principles and spirit of the present invention can carry out these embodiments a variety of variations, modification, replace
And modification, the scope of the present invention is defined by the appended.
Claims (5)
1. a kind of processing method of remote sensing image, it is characterised in that：This method is as follows：
S1：Remotely-sensed data resolves into remote sensing image and telemetry by data conversion module；
S2：Subsequent picture pretreatment unit completes the pretreatment operation to remote sensing images, enhances the interested information of Graphical User,
Improve remote sensing image quality；
S3：The preliminary corrections to telemetry and remote sensing images are completed using the geometric correction module of system, realize that image is sat
The matching of mark and geographical coordinate；
S4：Remote sensing image after corrected completes registration and the synthesis of image by image registration unit, and it is distant to generate panorama
Feel image.
2. a kind of processing method of remote sensing image according to claim 1, it is characterised in that：In the step S2, to distant
The pretreatment of sense image includes the content that image goes dry, image enhancement and gray scale adjustment.
3. a kind of processing method of remote sensing image according to claim 2, it is characterised in that：The gray scale adjusts specific
Step is as follows：
S21：Calculate the average u and variances sigma of gradation of image
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Wherein, (M, N) is picture size, and f (i, j) is gray scale or brightness value of the image at coordinate (i, j)；
S22：To original image carry out gray scale normalization, if f (x, y), u, σ be respectively original image gray scale or brightness value,
Value and standard deviation, then gradation of image or brightness value f ' (x, y) after normalizing meet following formula
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Image average after normalization is O, variance 1；
S23：Gray scale stretching and contrast enhancing are carried out to the image after normalization
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Not Wei image f ' maximum and minimum value, M be computer represented by maximum, be defaulted as 255.
4. a kind of processing system of remote sensing image, including data conversion module, it is characterised in that：The data conversion module difference
Electrically output connection image pre-processing unit and geometric correction module, described image pretreatment unit electrically export connection geometry school
Positive module, the geometric correction module respectively electrically as registration unit and target locating module, match somebody with somebody output connection figure by described image
Quasi- unit electrically exports linking objective locating module, the also electrically output connection image management application of described image registration unit, institute
It states target locating module and electrically exports linking objective output module.
5. a kind of processing system of remote sensing image according to claim 4, it is characterised in that：The target output module leads to
The mode for crossing wireless transmission is connected with monitor terminal, and monitor terminal is personal hand-held terminal or individual PC.
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Application publication date: 20180522 |