CN103914809A - Method and device for tasseled cap transform based on Landsat8 at-satellite reflectance - Google Patents
Method and device for tasseled cap transform based on Landsat8 at-satellite reflectance Download PDFInfo
- Publication number
- CN103914809A CN103914809A CN201410119485.6A CN201410119485A CN103914809A CN 103914809 A CN103914809 A CN 103914809A CN 201410119485 A CN201410119485 A CN 201410119485A CN 103914809 A CN103914809 A CN 103914809A
- Authority
- CN
- China
- Prior art keywords
- pca
- principal component
- component analysis
- standardization
- landsat8
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 22
- 238000000513 principal component analysis Methods 0.000 claims description 124
- 238000002310 reflectometry Methods 0.000 claims description 17
- 230000005855 radiation Effects 0.000 claims description 3
- 239000002689 soil Substances 0.000 abstract description 9
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 abstract description 6
- 238000012544 monitoring process Methods 0.000 abstract description 3
- 238000006243 chemical reaction Methods 0.000 description 28
- 238000004458 analytical method Methods 0.000 description 4
- 239000000203 mixture Substances 0.000 description 3
- 238000009987 spinning Methods 0.000 description 3
- 238000007906 compression Methods 0.000 description 2
- 230000006835 compression Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000004611 spectroscopical analysis Methods 0.000 description 2
- 238000000179 transient infrared spectroscopy Methods 0.000 description 2
- 241000412750 Cicones Species 0.000 description 1
- 241001573881 Corolla Species 0.000 description 1
- VAYOSLLFUXYJDT-RDTXWAMCSA-N Lysergic acid diethylamide Chemical compound C1=CC(C=2[C@H](N(C)C[C@@H](C=2)C(=O)N(CC)CC)C2)=C3C2=CNC3=C1 VAYOSLLFUXYJDT-RDTXWAMCSA-N 0.000 description 1
- 102000006463 Talin Human genes 0.000 description 1
- 108010083809 Talin Proteins 0.000 description 1
- 241001464837 Viridiplantae Species 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 239000012141 concentrate Substances 0.000 description 1
- 230000007704 transition Effects 0.000 description 1
Landscapes
- Investigating Or Analysing Materials By Optical Means (AREA)
Abstract
The invention relates to a method and device for tasseled cap transform based on a Landsat8 at-satellite reflectance. The method for tasseled cap transform based on the Landsat8 at-satellite reflectance comprises the steps that an apparent reflectance image is obtained according to remote sensing image data collected by an operational land imager on the Landsat8, PCA is conducted on the apparent reflectance image, and PR is conducted on components obtained through the PCA. According to the method and device for tasseled cap transform based on the Landsat8 at-satellite reflectance, due to the fact that the PR method is adopted, the subjective influence of researchers on rotation is avoided, a tasseled cap transform coefficient of the Landsat8 operational land imager is obtained, the tasseled cap transform based on the Landsat8 at-satellite reflectance is achieved according to the tasseled cap transform coefficient, and thus more detailed and more accurate monitoring and analyzing of ground targets such as vegetation, soil and water are achieved.
Description
Technical field
The present invention relates to technical field of remote sensing image processing, relate in particular to a kind of red-tasselled official hat transform method and device based on reflectivity on Landsat8 star.
Background technology
Landsat8 is a land explorer satellite of U.S.'s transmitting, carries two Main Load: OLI and TIRS on Landsat8.Wherein OLI(full name: Operational Land Imager, land imager) developed by the Bauer Aerospace Technology Co. in the many states of Corolla; TIRS(full name: Thermal Infrared Sensor, thermal infrared sensor) developed by the Ge Dade space flight center of NASA.
Red-tasselled official hat conversion is a kind of effective tool of spectroscopic data compression, spectroscopic data can be compressed into the several wave bands relevant to physical features, and information loss is little.Red-tasselled official hat conversion both can realize Information Compression, can help again interpretation analysis crops feature, had very large practical application meaning.1976, Kauth and Thomas proposed red-tasselled official hat conversion first based on Landsat MSS sensor, be now widely applied in the middle of many sensors, and as Landsat TM, Landsat ETM+, MODIS, IKONOS, Quick Bird etc.Red-tasselled official hat conversion coefficient is not fixed, and different sensors has different conversion coefficients, and for same sensor, the conversion coefficient that researcher selects different spinning solutions to obtain is also not quite similar.2007, Lobser and Cohen proposed a kind of standardized spinning solution.Specifically can be referring to document Lobser, S., & Cohen, W. (2007) .MODIS tasselled cap:land cover characteristics expressed through transformed MODIS data.International Journal of Remote Sensing, 28,5079-5101.
Summary of the invention
(1) technical matters that will solve
Technical matters to be solved by this invention is: how to avoid the subjectivity impact of researcher on rotation, realize exactly the red-tasselled official hat conversion of Landsat8 land imager sensor.
(2) technical scheme
For this purpose, the present invention proposes a kind of red-tasselled official hat transform method based on reflectivity on Landsat8 star, comprise the following steps: the remote sensing image data collecting according to the land imager sensor being arranged on Landsat8 obtains apparent reflectance image;
Described apparent reflectance image is carried out to principal component analysis (PCA) PCA;
The component obtaining by principal component analysis (PCA) is carried out to standardization rotation PR.
Preferably, described apparent reflectance image is the apparent reflectance image after radiation calibration.
Preferably, describedly described apparent reflectance image carried out to principal component analysis (PCA) PCA specifically comprise:
Calculate the principal component transform coefficient of described apparent reflectance image;
According to described principal component transform coefficient, described apparent reflectance image is carried out to principal component analysis (PCA).
Preferably, describedly the component obtaining by principal component analysis (PCA) carried out to standardization rotation PR specifically comprise:
Obtain the component obtaining by principal component analysis (PCA);
Calculate the coefficient of rotary of described standardization rotation;
According to described coefficient of rotary, the component obtaining by principal component analysis (PCA) is carried out to standardization rotation.
Preferably, described standardization rotates to be the standardization rotation that orthogonal axis is carried out.
In addition, the present invention also provides a kind of red-tasselled official hat converting means based on reflectivity on Landsat8 star, comprising: acquisition module, principal component analysis (PCA) module and rotary module;
Acquisition module, for obtaining apparent reflectance image according to the remote sensing image data collecting;
Principal component analysis (PCA) module, for carrying out principal component analysis (PCA) PCA to described apparent reflectance image;
Rotary module, for carrying out standardization rotation PR to the component obtaining by principal component analysis (PCA).
Preferably, described principal component analysis (PCA) module comprises the first computing unit and principal component analysis (PCA) unit;
The first computing unit, for calculating the principal component transform coefficient of described apparent reflectance image;
Principal component analysis (PCA) unit, for carrying out principal component analysis (PCA) according to described principal component transform coefficient to described apparent reflectance image.
Preferably, described rotary module comprises acquiring unit, the second computing unit and standardization rotary unit;
Acquiring unit, for obtaining the component obtaining by principal component analysis (PCA);
The second computing unit, for calculating the coefficient of rotary of described standardization rotation;
Standardization rotary unit, for carrying out standardization rotation according to described coefficient of rotary to the component obtaining by principal component analysis (PCA).
(3) beneficial effect
By adopting a kind of red-tasselled official hat transform method and device based on reflectivity on Landsat8 star disclosed by the invention, overcome the subjectivity impact of researcher on rotation, the red-tasselled official hat conversion coefficient of Landsat8 land imager is proposed, and realized the red-tasselled official hat conversion based on reflectivity on Landsat8 star according to red-tasselled official hat conversion coefficient, and then realize more careful monitoring analysis accurately of terrain object such as vegetation, soil, water bodys.
Accompanying drawing explanation
Can more clearly understand the features and advantages of the present invention by reference to accompanying drawing, accompanying drawing is schematically to should not be construed as the present invention is carried out to any restriction, in the accompanying drawings:
Fig. 1 is the process flow diagram of a kind of red-tasselled official hat transform method based on reflectivity on Landsat8 star of the present invention;
Fig. 2 is the module map of a kind of red-tasselled official hat converting means based on reflectivity on Landsat8 star of the present invention.
Embodiment
Below in conjunction with accompanying drawing, embodiments of the present invention is described in detail.
The embodiment of the present invention one has proposed a kind of red-tasselled official hat transform method based on reflectivity on Landsat8 star, as shown in Figure 1, comprises the following steps:
Step 101, the remote sensing image data collecting according to the land imager sensor being arranged on Landsat8 obtains apparent reflectance image;
Step 102, carries out principal component analysis (PCA) PCA to described apparent reflectance image;
Step 103, carries out standardization rotation PR to the component obtaining by principal component analysis (PCA).
Landsat8Operational Land Imager(OLI in the present embodiment) remote sensing image data that collects is converted into after apparent reflectance image, is directly transformed into Landsat TM TCT space, and regarded virtual target.Then, by principal component analysis (PCA) PCA(Principal Component Analysis) be applied on image, described apparent reflectance image is carried out to principal component analysis (PCA) PCA, remove the correlativity between wave band, finally, image after PCA is carried out to standardization rotation PR(ProcrustesRotation), thus the image consistent with virtual target coordinate axis obtained.
Wherein, the ideal space of red-tasselled official hat conversion can be thought OLI data to carry out in Landsat TM TCT space.
In the present embodiment remote sensing image data used be Landsat8 Seeds of First Post-flight land imager OLI sensor (Operational Land Imager) gather data, the wave band of use is Band2(Blue), Band3(Green), Band4(Red), Band5(NIR), Band6(SWIR1), Band7(SWIR2).
The Band2-Band7 of remote sensing image data is carried out after PCA, obtain vertical and mutual incoherent six components mutually, information spinner will concentrate in first three component.
In the embodiment of the present invention, adopt ProcrustesRotation to determine coordinate axis: PR is based on svd, be conventionally applied in major component but not in raw data; PR can think the standardization rotation that orthogonal axis is carried out, and by adopting this standardization rotation PR, has avoided the subjectivity impact of researcher on rotation.
In the embodiment of the present invention, select the representative Landsat8 remote sensing image of three scapes.Crist and Cicone mainly obtain the coefficient of TM red-tasselled official hat conversion by the data in North Carolina area, in order to be consistent with forefathers' research, this method is also mainly used the data in this region to calculate the red-tasselled official hat conversion coefficient of Landsat8.Selected data is as shown in table 1 below:
The Landsat8 remote sensing image area that table 1 is representative
The three scape Landsat8DN value video conversion of choosing are become to apparent reflectance image.
Choose 24371,8510 in the cloudless region of above three scape images respectively, 64000 pixels, as sample, are directly transformed into Landsat TM TCT space by the sample of choosing, and are regarded virtual target.
Selected raw video is carried out to principal component analysis (PCA) PCA, remove the correlativity between wave band, obtain 6 mutual vertical and mutual incoherent components.
The component that PCA is obtained carries out standardization rotation PR, obtains the result consistent with virtual target exchanging shaft.
Preferably, described apparent reflectance image is the apparent reflectance image after radiation calibration.
Preferably, describedly described apparent reflectance image carried out to principal component analysis (PCA) PCA specifically comprise:
Calculate the principal component transform coefficient of described apparent reflectance image;
According to described principal component transform coefficient, described apparent reflectance image is carried out to principal component analysis (PCA).
Preferably, describedly the component obtaining by principal component analysis (PCA) carried out to standardization rotation PR specifically comprise:
Obtain the component obtaining by principal component analysis (PCA);
Calculate the coefficient of rotary of described standardization rotation;
According to described coefficient of rotary, the component obtaining by principal component analysis (PCA) is carried out to standardization rotation.
Preferably, described standardization rotates to be the standardization rotation that orthogonal axis is carried out.
Red-tasselled official hat conversion coefficient is not fixed, different sensors has different conversion coefficients, and for same sensor, the conversion coefficient that researcher selects different spinning solutions to obtain is also not quite similar, propose first in embodiments of the present invention the red-tasselled official hat conversion coefficient of Landsat OLI, can obtain last red-tasselled official hat conversion coefficient R by coefficient of rotary and principal component transform multiplication.
Table 2 red-tasselled official hat conversion coefficient table
Carry out the rear luminance component TC of red-tasselled official hat conversion according to red-tasselled official hat conversion coefficient
1, green degree component TC
2with humidity component TC
3as follows respectively:
TC
1=0.3029*ρ
2+0.2786*ρ
3+0.4733*ρ
4+0.5599*ρ
5+0.508*ρ
6+0.1872*ρ
7
TC
2=-0.2941*ρ
2-0.243*ρ
3-0.5424*ρ
4+0.7276*ρ
5+0.0713*ρ
6-0.1608*ρ
7
TC
3=0.1511*ρ
2+0.1973*ρ
3+0.3283*ρ
4+0.3407*ρ
5-0.7117*ρ
6-0.4559*ρ
7
Wherein, ρ
nbe the reflectivity of n Band, n ∈ [2,7].
TC1 is luminance component, is the weighted sum of six wave bands, has reflected overall reflected value, wherein Band4, and the contribution maximum of Band5 and Band6, this component is relevant to soil and albedo.TC
2be green degree component, vegetation is higher near infrared reflectivity, and lower at the reflectivity of red wave band, at TC
2show as near infrared larger on the occasion of and the larger negative value of red wave band, reflected the feature of green plants.TC
3for humidity component, reflect the difference between visible ray and near infrared (Band2-Band5) and short-wave infrared (Band6-Band7), the reason that is defined as humidity is that two wave bands of short-wave infrared are the most responsive to soil moisture and plant humidity.After red-tasselled official hat conversion, can from vegetation, extract soil, from water body, extract vegetation, from water body, extract exposed soil, wherein, the plane of two component compositions of brightness and green degree may be defined as vegetation and looks face, the plane of two component compositions of humidity and brightness can be described as soil and looks face, the plane of two components of humidity and green degree composition can be considered that zone of transition looks face, such three dimensions is exactly that Landsat8 data are carried out the new space after TCT conversion, under this space, can do more careful analysis accurately to terrain object such as vegetation, soil, water bodys.
In addition, the embodiment of the present invention two also provides a kind of red-tasselled official hat converting means based on reflectivity on Landsat8 star, and as shown in Figure 2, described device comprises: acquisition module 1, principal component analysis (PCA) module 2 and rotary module 3;
Acquisition module 1, for obtaining apparent reflectance image according to the remote sensing image data collecting;
Principal component analysis (PCA) module 2, for carrying out principal component analysis (PCA) PCA to described apparent reflectance image;
Rotary module 3, for carrying out standardization rotation PR to the component obtaining by principal component analysis (PCA).
Preferably, described principal component analysis (PCA) module 2 comprises the first computing unit and principal component analysis (PCA) unit;
The first computing unit, for calculating the principal component transform coefficient of described apparent reflectance image;
Principal component analysis (PCA) unit, for carrying out principal component analysis (PCA) according to described principal component transform coefficient to described apparent reflectance image.
Preferably, described rotary module 3 comprises acquiring unit, the second computing unit and standardization rotary unit;
Acquiring unit, for obtaining the component obtaining by principal component analysis (PCA);
The second computing unit, for calculating the coefficient of rotary of described standardization rotation;
Standardization rotary unit, for carrying out standardization rotation according to described coefficient of rotary to the component obtaining by principal component analysis (PCA).
By adopting a kind of red-tasselled official hat transform method and device based on reflectivity on Landsat8 star disclosed by the invention, overcome the subjectivity impact of researcher on rotation, the red-tasselled official hat conversion coefficient of Landsat8 land imager is proposed, and realized the red-tasselled official hat conversion based on reflectivity on Landsat8 star according to red-tasselled official hat conversion coefficient, and then realize more careful monitoring analysis accurately of terrain object such as vegetation, soil, water bodys.
Through the above description of the embodiments, those skilled in the art can be well understood to the present invention and can realize by hardware, and the mode that also can add necessary general hardware platform by software realizes.Based on such understanding, technical scheme of the present invention can embody with the form of software product, it (can be CD-ROM that this software product can be stored in a non-volatile memory medium, USB flash disk, portable hard drive etc.) in, comprise that some instructions are in order to make a computer equipment (can be personal computer, server, or the network equipment etc.) carry out the method described in each embodiment of the present invention.
It will be appreciated by those skilled in the art that accompanying drawing is the schematic diagram of a preferred embodiment, the module in accompanying drawing or flow process might not be that enforcement the present invention is necessary.
The foregoing is only embodiments of the invention; not thereby limit the scope of the claims of the present invention; every equivalent structure or conversion of equivalent flow process that utilizes instructions of the present invention and accompanying drawing content to do; or be directly or indirectly used in other relevant technical fields, be all in like manner included in scope of patent protection of the present invention.
Claims (8)
1. the red-tasselled official hat transform method based on reflectivity on Landsat8 star, is characterized in that, comprises the following steps:
The remote sensing image data collecting according to the land imager sensor being arranged on Landsat8 obtains apparent reflectance image;
Described apparent reflectance image is carried out to principal component analysis (PCA) PCA;
The component obtaining by principal component analysis (PCA) is carried out to standardization rotation PR.
2. method according to claim 1, is characterized in that, described apparent reflectance image is the atmospheric envelope top apparent reflectance image after radiation calibration.
3. method according to claim 1, is characterized in that, describedly described apparent reflectance image is carried out to principal component analysis (PCA) PCA specifically comprises:
Calculate the principal component transform coefficient of described apparent reflectance image;
According to described principal component transform coefficient, described apparent reflectance image is carried out to principal component analysis (PCA).
4. method according to claim 1, is characterized in that, describedly the component obtaining by principal component analysis (PCA) is carried out to standardization rotation PR specifically comprises:
Obtain the component obtaining by principal component analysis (PCA);
Calculate the coefficient of rotary of described standardization rotation;
According to described coefficient of rotary, the component obtaining by principal component analysis (PCA) is carried out to standardization rotation.
5. method according to claim 1, is characterized in that, described standardization rotates to be the standardization rotation that orthogonal axis is carried out.
6. the red-tasselled official hat converting means based on reflectivity on Landsat8 star, is characterized in that, comprising: acquisition module, principal component analysis (PCA) module and rotary module;
Acquisition module, for obtaining apparent reflectance image according to the remote sensing image data collecting;
Principal component analysis (PCA) module, for carrying out principal component analysis (PCA) PCA to described apparent reflectance image;
Rotary module, for carrying out standardization rotation PR to the component obtaining by principal component analysis (PCA).
7. device according to claim 6, is characterized in that, described principal component analysis (PCA) module comprises the first computing unit and principal component analysis (PCA) unit;
The first computing unit, for calculating the principal component transform coefficient of described apparent reflectance image;
Principal component analysis (PCA) unit, for carrying out principal component analysis (PCA) according to described principal component transform coefficient to described apparent reflectance image.
8. device according to claim 6, is characterized in that, described rotary module comprises acquiring unit, the second computing unit and standardization rotary unit;
Acquiring unit, for obtaining the component obtaining by principal component analysis (PCA);
The second computing unit, for calculating the coefficient of rotary of described standardization rotation;
Standardization rotary unit, for carrying out standardization rotation according to described coefficient of rotary to the component obtaining by principal component analysis (PCA).
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410119485.6A CN103914809B (en) | 2014-03-27 | 2014-03-27 | Method and device for tasseled cap transform based on Landsat8 at-satellite reflectance |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410119485.6A CN103914809B (en) | 2014-03-27 | 2014-03-27 | Method and device for tasseled cap transform based on Landsat8 at-satellite reflectance |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN103914809A true CN103914809A (en) | 2014-07-09 |
| CN103914809B CN103914809B (en) | 2017-02-15 |
Family
ID=51040468
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201410119485.6A Expired - Fee Related CN103914809B (en) | 2014-03-27 | 2014-03-27 | Method and device for tasseled cap transform based on Landsat8 at-satellite reflectance |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN103914809B (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106650689A (en) * | 2016-12-30 | 2017-05-10 | 厦门理工学院 | Coastal city time sequence land utilization information extracting method |
| CN112507276A (en) * | 2020-11-05 | 2021-03-16 | 南京信息工程大学 | Offshore enteromorpha green tide remote sensing monitoring method without atmospheric correction |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102306372A (en) * | 2011-07-12 | 2012-01-04 | 浙江大学 | Method for processing remote sensing images based on tasseled cap transformation |
-
2014
- 2014-03-27 CN CN201410119485.6A patent/CN103914809B/en not_active Expired - Fee Related
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102306372A (en) * | 2011-07-12 | 2012-01-04 | 浙江大学 | Method for processing remote sensing images based on tasseled cap transformation |
Non-Patent Citations (5)
| Title |
|---|
| ANDRADE等: "3-Way Characterization of Soils by Procrustes Rotation, Matrix-Augmented Principal Components Analysis and Parallel Factor Analysis", 《ANALYTICA CHIMICA ACTA》 * |
| ANDRADE等: "Procrustes Rotation in Analytical Chemistry, a Tutorial", 《CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS》 * |
| C.HUANG等: "Derivation of a Tasseled Cap Transformation Based On Landsat 7 At-Satellite Reflectance", 《INTERNATIONAL JOURNAL OF REMOTE SENSING》 * |
| S.E.LOBSER，W.B.COHEN: "MODIS Tasselled Cap: Land Cover Characteristics Expressed through Transformed MODIS Data", 《INTERNATIONAL JOURNAL OF REMOTE SENSING》 * |
| 周拥军等: "正交Procrustes分析及其在旋转矩阵估计中的应用", 《武汉大学学报·信息科学版》 * |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106650689A (en) * | 2016-12-30 | 2017-05-10 | 厦门理工学院 | Coastal city time sequence land utilization information extracting method |
| CN106650689B (en) * | 2016-12-30 | 2019-08-27 | 厦门理工学院 | A kind of coastal cities time series Land-use extracting method |
| CN112507276A (en) * | 2020-11-05 | 2021-03-16 | 南京信息工程大学 | Offshore enteromorpha green tide remote sensing monitoring method without atmospheric correction |
| CN112507276B (en) * | 2020-11-05 | 2023-07-04 | 南京信息工程大学 | Offshore enteromorpha green tide remote sensing monitoring method without atmospheric correction |
Also Published As
| Publication number | Publication date |
|---|---|
| CN103914809B (en) | 2017-02-15 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Stroppiana et al. | Early season weed mapping in rice crops using multi-spectral UAV data | |
| Piñeiro et al. | Seasonal variation in aboveground production and radiation-use efficiency of temperate rangelands estimated through remote sensing | |
| Vega et al. | Multi-temporal imaging using an unmanned aerial vehicle for monitoring a sunflower crop | |
| Chen et al. | Monitoring cotton (Gossypium hirsutum L.) germination using ultrahigh-resolution UAS images | |
| Chen et al. | Improving estimates of fractional vegetation cover based on UAV in alpine grassland on the Qinghai–Tibetan Plateau | |
| Liu et al. | Comparison of tasselled cap transformations based on the selective bands of Landsat 8 OLI TOA reflectance images | |
| Berni et al. | Remote sensing of vegetation from UAV platforms using lightweight multispectral and thermal imaging sensors | |
| Yang | A high-resolution airborne four-camera imaging system for agricultural remote sensing | |
| Yang et al. | Airborne hyperspectral imagery and linear spectral unmixing for mapping variation in crop yield | |
| Hostert et al. | Time series analyses in a new era of optical satellite data | |
| Wang et al. | Unsupervised discrimination between lodged and non-lodged winter wheat: A case study using a low-cost unmanned aerial vehicle | |
| Tian et al. | Assessing rice lodging using UAV visible and multispectral image | |
| She et al. | Assessing winter oilseed rape freeze injury based on Chinese HJ remote sensing data | |
| Crusiol et al. | Semi professional digital camera calibration techniques for Vis/NIR spectral data acquisition from an unmanned aerial vehicle | |
| Ehsani et al. | Affordable multirotor Remote sensing platform for applications in precision horticulture | |
| CN111678871A (en) | Non-growing season vegetation coverage remote sensing estimation method | |
| de Oliveira et al. | Topographic effects on the determination of hyperspectral vegetation indices: a case study in southeastern Brazil | |
| Ouyang et al. | UAV and ground-based imagery analysis detects canopy structure changes after canopy management applications | |
| Choosumrong et al. | Bananas diseases and insect infestations monitoring using multi-spectral camera RTK UAV images | |
| CN103914809A (en) | Method and device for tasseled cap transform based on Landsat8 at-satellite reflectance | |
| Manjarrez-Dominguez et al. | Vegetation landscape analysis due to land use changes on arid lands | |
| Cao et al. | Fine scale optical remote sensing experiment of mixed stand over complex terrain (FOREST) in the Genhe reserve area: Objective, observation and a case study | |
| Amogi et al. | A mobile thermal-RGB imaging tool for mapping crop water stress of grapevines | |
| Gallardo-Salazar et al. | Multi-temporal NDVI analysis using UAV images of tree crowns in a northern Mexican pine-oak forest | |
| Mian et al. | Wheat biomass estimation in different growth stages based on color and texture features of UAV images |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20170215 |