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OriginLab corp figures created in originpro 2022 sr1
Technical workflow (Maps created in ArcMap 10.2, http://www.esri.com . Figures created in OriginPro 2022 <t>SR1,</t> https://www.originlab.com , and Visio 2021, https://visio.iruanhui.cn ).
Figures Created In Originpro 2022 Sr1, supplied by OriginLab corp, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/figures created in originpro 2022 sr1/product/OriginLab corp
Average 90 stars, based on 1 article reviews
figures created in originpro 2022 sr1 - by Bioz Stars, 2026-03
90/100 stars

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1) Product Images from "Object-oriented multi-scale segmentation and multi-feature fusion-based method for identifying typical fruit trees in arid regions using Sentinel-1/2 satellite images"

Article Title: Object-oriented multi-scale segmentation and multi-feature fusion-based method for identifying typical fruit trees in arid regions using Sentinel-1/2 satellite images

Journal: Scientific Reports

doi: 10.1038/s41598-024-68991-7

Technical workflow (Maps created in ArcMap 10.2, http://www.esri.com . Figures created in OriginPro 2022 SR1, https://www.originlab.com , and Visio 2021, https://visio.iruanhui.cn ).
Figure Legend Snippet: Technical workflow (Maps created in ArcMap 10.2, http://www.esri.com . Figures created in OriginPro 2022 SR1, https://www.originlab.com , and Visio 2021, https://visio.iruanhui.cn ).

Techniques Used:

Comparison of filtering algorithms (r represents the correlation coefficient, and SD represents the standard deviation. Figures created in OriginPro 2022 SR1, https://www.originlab.com ).
Figure Legend Snippet: Comparison of filtering algorithms (r represents the correlation coefficient, and SD represents the standard deviation. Figures created in OriginPro 2022 SR1, https://www.originlab.com ).

Techniques Used: Comparison, Standard Deviation

NDVI phenological features (Group the 13 phenological features into 3 sets based on their value ranges for comparative analysis. Figures created in OriginPro 2022 SR1, https://www.originlab.com ).
Figure Legend Snippet: NDVI phenological features (Group the 13 phenological features into 3 sets based on their value ranges for comparative analysis. Figures created in OriginPro 2022 SR1, https://www.originlab.com ).

Techniques Used:

Typical land cover NDVI curve and one standard deviation (Figures created in OriginPro 2022 SR1, https://www.originlab.com ).
Figure Legend Snippet: Typical land cover NDVI curve and one standard deviation (Figures created in OriginPro 2022 SR1, https://www.originlab.com ).

Techniques Used: Standard Deviation

VV/VH polarization characteristic curve (Figures created in OriginPro 2022 SR1, https://www.originlab.com ).
Figure Legend Snippet: VV/VH polarization characteristic curve (Figures created in OriginPro 2022 SR1, https://www.originlab.com ).

Techniques Used:

Classification feature heat map (Figures created in OriginPro 2022 SR1, https://www.originlab.com ).
Figure Legend Snippet: Classification feature heat map (Figures created in OriginPro 2022 SR1, https://www.originlab.com ).

Techniques Used:

Feature importance analysis and feature selection: ( a ) Feature importance statistics and overall accuracy change chart, ( b ) feature selection strategy (Figures created in OriginPro 2022 SR1, https://www.originlab.com ).
Figure Legend Snippet: Feature importance analysis and feature selection: ( a ) Feature importance statistics and overall accuracy change chart, ( b ) feature selection strategy (Figures created in OriginPro 2022 SR1, https://www.originlab.com ).

Techniques Used: Selection

Confusion matrix plot of land cover classification results (Figures created in OriginPro 2022 SR1, https://www.originlab.com ).
Figure Legend Snippet: Confusion matrix plot of land cover classification results (Figures created in OriginPro 2022 SR1, https://www.originlab.com ).

Techniques Used:

Extraction of multiple fruit tree areas (The first image selects four representative plots and calculates the planted area of fruit trees, ( a–f ) represents the recognition performance of six models. Maps created in ArcMap 10.2, http://www.esri.com . Figures created in OriginPro 2022 SR1, https://www.originlab.com . Boundaries made with free vector data provided by National Catalogue Service for Geographic Information, https://www.webmap.cn/commres.do?method=dataDownload . The satellite imagery data source: Sentinel-2, https://developers.google.com/earth-engine/datasets/catalog?filter=COPERNICUS%2FS2 ).
Figure Legend Snippet: Extraction of multiple fruit tree areas (The first image selects four representative plots and calculates the planted area of fruit trees, ( a–f ) represents the recognition performance of six models. Maps created in ArcMap 10.2, http://www.esri.com . Figures created in OriginPro 2022 SR1, https://www.originlab.com . Boundaries made with free vector data provided by National Catalogue Service for Geographic Information, https://www.webmap.cn/commres.do?method=dataDownload . The satellite imagery data source: Sentinel-2, https://developers.google.com/earth-engine/datasets/catalog?filter=COPERNICUS%2FS2 ).

Techniques Used: Extraction, Plasmid Preparation



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OriginLab corp figures created in originpro 2022 sr1
Technical workflow (Maps created in ArcMap 10.2, http://www.esri.com . Figures created in OriginPro 2022 <t>SR1,</t> https://www.originlab.com , and Visio 2021, https://visio.iruanhui.cn ).
Figures Created In Originpro 2022 Sr1, supplied by OriginLab corp, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/figures created in originpro 2022 sr1/product/OriginLab corp
Average 90 stars, based on 1 article reviews
figures created in originpro 2022 sr1 - by Bioz Stars, 2026-03
90/100 stars
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Technical workflow (Maps created in ArcMap 10.2, http://www.esri.com . Figures created in OriginPro 2022 SR1, https://www.originlab.com , and Visio 2021, https://visio.iruanhui.cn ).

Journal: Scientific Reports

Article Title: Object-oriented multi-scale segmentation and multi-feature fusion-based method for identifying typical fruit trees in arid regions using Sentinel-1/2 satellite images

doi: 10.1038/s41598-024-68991-7

Figure Lengend Snippet: Technical workflow (Maps created in ArcMap 10.2, http://www.esri.com . Figures created in OriginPro 2022 SR1, https://www.originlab.com , and Visio 2021, https://visio.iruanhui.cn ).

Article Snippet: Figures created in OriginPro 2022 SR1, https://www.originlab.com , and Visio 2021, https://visio.iruanhui.cn ).

Techniques:

Comparison of filtering algorithms (r represents the correlation coefficient, and SD represents the standard deviation. Figures created in OriginPro 2022 SR1, https://www.originlab.com ).

Journal: Scientific Reports

Article Title: Object-oriented multi-scale segmentation and multi-feature fusion-based method for identifying typical fruit trees in arid regions using Sentinel-1/2 satellite images

doi: 10.1038/s41598-024-68991-7

Figure Lengend Snippet: Comparison of filtering algorithms (r represents the correlation coefficient, and SD represents the standard deviation. Figures created in OriginPro 2022 SR1, https://www.originlab.com ).

Article Snippet: Figures created in OriginPro 2022 SR1, https://www.originlab.com , and Visio 2021, https://visio.iruanhui.cn ).

Techniques: Comparison, Standard Deviation

NDVI phenological features (Group the 13 phenological features into 3 sets based on their value ranges for comparative analysis. Figures created in OriginPro 2022 SR1, https://www.originlab.com ).

Journal: Scientific Reports

Article Title: Object-oriented multi-scale segmentation and multi-feature fusion-based method for identifying typical fruit trees in arid regions using Sentinel-1/2 satellite images

doi: 10.1038/s41598-024-68991-7

Figure Lengend Snippet: NDVI phenological features (Group the 13 phenological features into 3 sets based on their value ranges for comparative analysis. Figures created in OriginPro 2022 SR1, https://www.originlab.com ).

Article Snippet: Figures created in OriginPro 2022 SR1, https://www.originlab.com , and Visio 2021, https://visio.iruanhui.cn ).

Techniques:

Typical land cover NDVI curve and one standard deviation (Figures created in OriginPro 2022 SR1, https://www.originlab.com ).

Journal: Scientific Reports

Article Title: Object-oriented multi-scale segmentation and multi-feature fusion-based method for identifying typical fruit trees in arid regions using Sentinel-1/2 satellite images

doi: 10.1038/s41598-024-68991-7

Figure Lengend Snippet: Typical land cover NDVI curve and one standard deviation (Figures created in OriginPro 2022 SR1, https://www.originlab.com ).

Article Snippet: Figures created in OriginPro 2022 SR1, https://www.originlab.com , and Visio 2021, https://visio.iruanhui.cn ).

Techniques: Standard Deviation

VV/VH polarization characteristic curve (Figures created in OriginPro 2022 SR1, https://www.originlab.com ).

Journal: Scientific Reports

Article Title: Object-oriented multi-scale segmentation and multi-feature fusion-based method for identifying typical fruit trees in arid regions using Sentinel-1/2 satellite images

doi: 10.1038/s41598-024-68991-7

Figure Lengend Snippet: VV/VH polarization characteristic curve (Figures created in OriginPro 2022 SR1, https://www.originlab.com ).

Article Snippet: Figures created in OriginPro 2022 SR1, https://www.originlab.com , and Visio 2021, https://visio.iruanhui.cn ).

Techniques:

Classification feature heat map (Figures created in OriginPro 2022 SR1, https://www.originlab.com ).

Journal: Scientific Reports

Article Title: Object-oriented multi-scale segmentation and multi-feature fusion-based method for identifying typical fruit trees in arid regions using Sentinel-1/2 satellite images

doi: 10.1038/s41598-024-68991-7

Figure Lengend Snippet: Classification feature heat map (Figures created in OriginPro 2022 SR1, https://www.originlab.com ).

Article Snippet: Figures created in OriginPro 2022 SR1, https://www.originlab.com , and Visio 2021, https://visio.iruanhui.cn ).

Techniques:

Feature importance analysis and feature selection: ( a ) Feature importance statistics and overall accuracy change chart, ( b ) feature selection strategy (Figures created in OriginPro 2022 SR1, https://www.originlab.com ).

Journal: Scientific Reports

Article Title: Object-oriented multi-scale segmentation and multi-feature fusion-based method for identifying typical fruit trees in arid regions using Sentinel-1/2 satellite images

doi: 10.1038/s41598-024-68991-7

Figure Lengend Snippet: Feature importance analysis and feature selection: ( a ) Feature importance statistics and overall accuracy change chart, ( b ) feature selection strategy (Figures created in OriginPro 2022 SR1, https://www.originlab.com ).

Article Snippet: Figures created in OriginPro 2022 SR1, https://www.originlab.com , and Visio 2021, https://visio.iruanhui.cn ).

Techniques: Selection

Confusion matrix plot of land cover classification results (Figures created in OriginPro 2022 SR1, https://www.originlab.com ).

Journal: Scientific Reports

Article Title: Object-oriented multi-scale segmentation and multi-feature fusion-based method for identifying typical fruit trees in arid regions using Sentinel-1/2 satellite images

doi: 10.1038/s41598-024-68991-7

Figure Lengend Snippet: Confusion matrix plot of land cover classification results (Figures created in OriginPro 2022 SR1, https://www.originlab.com ).

Article Snippet: Figures created in OriginPro 2022 SR1, https://www.originlab.com , and Visio 2021, https://visio.iruanhui.cn ).

Techniques:

Extraction of multiple fruit tree areas (The first image selects four representative plots and calculates the planted area of fruit trees, ( a–f ) represents the recognition performance of six models. Maps created in ArcMap 10.2, http://www.esri.com . Figures created in OriginPro 2022 SR1, https://www.originlab.com . Boundaries made with free vector data provided by National Catalogue Service for Geographic Information, https://www.webmap.cn/commres.do?method=dataDownload . The satellite imagery data source: Sentinel-2, https://developers.google.com/earth-engine/datasets/catalog?filter=COPERNICUS%2FS2 ).

Journal: Scientific Reports

Article Title: Object-oriented multi-scale segmentation and multi-feature fusion-based method for identifying typical fruit trees in arid regions using Sentinel-1/2 satellite images

doi: 10.1038/s41598-024-68991-7

Figure Lengend Snippet: Extraction of multiple fruit tree areas (The first image selects four representative plots and calculates the planted area of fruit trees, ( a–f ) represents the recognition performance of six models. Maps created in ArcMap 10.2, http://www.esri.com . Figures created in OriginPro 2022 SR1, https://www.originlab.com . Boundaries made with free vector data provided by National Catalogue Service for Geographic Information, https://www.webmap.cn/commres.do?method=dataDownload . The satellite imagery data source: Sentinel-2, https://developers.google.com/earth-engine/datasets/catalog?filter=COPERNICUS%2FS2 ).

Article Snippet: Figures created in OriginPro 2022 SR1, https://www.originlab.com , and Visio 2021, https://visio.iruanhui.cn ).

Techniques: Extraction, Plasmid Preparation