发明申请
- 专利标题: SYSTEMS AND METHODS FOR ANALYZING REMOTE SENSING IMAGERY
- 专利标题(中): 用于分析远程感测图像的系统和方法
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申请号: US15253488申请日: 2016-08-31
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公开(公告)号: US20170076438A1公开(公告)日: 2017-03-16
- 发明人: Ryan KOTTENSTETTE , Peter LORENZEN , Suat GEDIKLI
- 申请人: Cape Analytics, Inc.
- 主分类号: G06T7/00
- IPC分类号: G06T7/00 ; H04N5/33 ; G06K9/46 ; G06K9/62
摘要:
Disclosed systems and methods relate to remote sensing, deep learning, and object detection. Some embodiments relate to machine learning for object detection, which includes, for example, identifying a class of pixel in a target image and generating a label image based on a parameter set. Other embodiments relate to machine learning for geometry extraction, which includes, for example, determining heights of one or more regions in a target image and determining a geometric object property in a target image. Yet other embodiments relate to machine learning for alignment, which includes, for example, aligning images via direct or indirect estimation of transformation parameters.
公开/授权文献
- US10311302B2 Systems and methods for analyzing remote sensing imagery 公开/授权日:2019-06-04