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figures created in originpro 2022 sr1  (OriginLab corp)


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    Structured Review

    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, 2026-05
    90/100 stars

    Images

    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, 2026-05
    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