Patents by Inventor Hsiu-Hsien WEN

Hsiu-Hsien WEN has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 12100204
    Abstract: A method for image-guided agriculture includes receiving images; processing the images to generate reflectance maps respectively corresponding to spectral bands; synthesizing the reflectance maps to generate a multispectral image including vegetation index information of a target area; receiving crop information in regions of the target area; and assessing crop conditions for the regions based on the identified crop information and the vegetation index information.
    Type: Grant
    Filed: February 13, 2023
    Date of Patent: September 24, 2024
    Assignee: GEOSAT Aerospace & Technology Inc.
    Inventors: Cheng-Fang Lo, Kuang-Yu Chen, Te-Che Lin, Hsiu-Hsien Wen, Ting-Jung Chang
  • Publication number: 20230298342
    Abstract: A method for image-guided agriculture includes receiving images; processing the images to generate reflectance maps respectively corresponding to spectral bands; synthesizing the reflectance maps to generate a multispectral image including vegetation index information of a target area; receiving crop information in regions of the target area; and assessing crop conditions for the regions based on the identified crop information and the vegetation index information.
    Type: Application
    Filed: February 13, 2023
    Publication date: September 21, 2023
    Applicant: GEOSAT Aerospace & Technology Inc.
    Inventors: Cheng-Fang LO, Kuang-Yu CHEN, Te-Che LIN, Hsiu-Hsien WEN, Ting-Jung CHANG
  • Patent number: 11620821
    Abstract: A method for image-guided agriculture includes capturing images based on one or more ground sampling distance values; processing the images to generate an orthophoto image of a target area; performing feature classification of the orthophoto image to identify corresponding crop information in regions of the target area; and assessing crop conditions in the regions based on one or more vegetation indices and the corresponding crop information in the regions.
    Type: Grant
    Filed: June 25, 2020
    Date of Patent: April 4, 2023
    Assignee: GEOSAT Aerospace & Technology
    Inventors: Cheng-Fang Lo, Kuang-Yu Chen, Te-Che Lin, Hsiu-Hsien Wen, Ting-Jung Chang
  • Patent number: 11580730
    Abstract: A method for image-guided agriculture includes receiving images; processing the images to generate reflectance maps respectively corresponding to spectral bands; synthesizing the reflectance maps to generate a multispectral image including vegetation index information of a target area; receiving crop information in regions of the target area; and assessing crop conditions for the regions based on the identified crop information and the vegetation index information.
    Type: Grant
    Filed: June 25, 2020
    Date of Patent: February 14, 2023
    Assignee: GEOSAT Aerospace & Technology
    Inventors: Cheng-Fang Lo, Kuang-Yu Chen, Te-Che Lin, Hsiu-Hsien Wen, Ting-Jung Chang
  • Publication number: 20210406539
    Abstract: A method for image-guided agriculture includes receiving images; processing the images to generate reflectance maps respectively corresponding to spectral bands; synthesizing the reflectance maps to generate a multispectral image including vegetation index information of a target area; receiving crop information in regions of the target area; and assessing crop conditions for the regions based on the identified crop information and the vegetation index information.
    Type: Application
    Filed: June 25, 2020
    Publication date: December 30, 2021
    Inventors: Cheng-Fang LO, Kuang-Yu CHEN, Te-Che LIN, Hsiu-Hsien WEN, Ting-Jung CHANG
  • Publication number: 20210406538
    Abstract: A method for image-guided agriculture includes capturing images based on one or more ground sampling distance values; processing the images to generate an orthophoto image of a target area; performing feature classification of the orthophoto image to identify corresponding crop information in regions of the target area; and assessing crop conditions in the regions based on one or more vegetation indices and the corresponding crop information in the regions.
    Type: Application
    Filed: June 25, 2020
    Publication date: December 30, 2021
    Inventors: Cheng-Fang Lo, Kuang-Yu Chen, Te-Che Lin, Hsiu-Hsien Wen, Ting-Jung Chang
  • Patent number: 10699119
    Abstract: Methods and systems for detecting objects from aerial imagery are disclosed. The method includes obtaining an image of an area, obtaining a plurality of regional aerial images from the image of the area, classifying the plurality of regional aerial images as a first class or a second class by a classifier, wherein: the first class indicates a regional aerial image contains a target object, the second class indicates a regional aerial image does not contain a target object, and the classifier is trained by first and second training data, wherein the first training data include first training images containing target objects, and the second training data include second training images containing target objects obtained by adjusting at least one of brightness, contrast, color saturation, resolution, or a rotation angle of the first training images; and recognizing a target object in a regional aerial image in the first class.
    Type: Grant
    Filed: December 20, 2019
    Date of Patent: June 30, 2020
    Assignee: GEOSAT AEROSPACE & TECHNOLOGY
    Inventors: Cheng-Fang Lo, Zih-Siou Chen, Chang-Rong Ko, Chun-Yi Wu, Ya-Wen Cheng, Kuang-Yu Chen, Hsiu-Hsien Wen, Te-Che Lin, Ting-Jung Chang
  • Publication number: 20200125823
    Abstract: Methods and systems for detecting objects from aerial imagery are disclosed. The method includes obtaining an image of an area, obtaining a plurality of regional aerial images from the image of the area, classifying the plurality of regional aerial images as a first class or a second class by a classifier, wherein: the first class indicates a regional aerial image contains a target object, the second class indicates a regional aerial image does not contain a target object, and the classifier is trained by first and second training data, wherein the first training data include first training images containing target objects, and the second training data include second training images containing target objects obtained by adjusting at least one of brightness, contrast, color saturation, resolution, or a rotation angle of the first training images; and recognizing a target object in a regional aerial image in the first class.
    Type: Application
    Filed: December 20, 2019
    Publication date: April 23, 2020
    Applicant: GEOSAT Aerospace & Technology
    Inventors: Cheng-Fang LO, Zih-Siou CHEN, Chang-Rong KO, Chun-Yi WU, Ya-Wen CHENG, Kuang-Yu CHEN, Hsiu-Hsien WEN, Te-Che LIN, Ting-Jung CHANG