Title:
REMOTE-SENSING IMAGE TARGET DETECTION METHOD BASED ON SMOOTH BOUNDING BOX REGRESSION FUNCTION
Document Type and Number:
WIPO Patent Application WO/2021/208502
Kind Code:
A1
Abstract:
A remote-sensing image target detection method based on a smooth bounding box regression function, comprising: performing necessary preprocessing on a training image, and setting a hyperparameter of network training; inputting a picture into a target detection convolutional neural network to obtain a feature map; then inputting the feature map into a region suggestion network to obtain a candidate box; and then sending the candidate box and the feature map into a region-of-interest pooling layer to obtain features of a region of interest, and classifying, in a classifier, the features of the region of interest; sending the obtained features of the region of interest into a full connection layer to obtain a predicted offset, then sending the predicted offset into the smooth bounding box regression function to obtain an actual offset, and correcting the candidate box to a new position; repeating the steps until a training process is finished; and preprocessing an image to be detected and then inputting same into a trained network to obtain a target detection result. High-precision bounding box regression can be effectively realized, and higher-precision target detection can be realized under the condition of a high IoU threshold.
Inventors:
SHEN YUAN (CN)
LIU JUN (CN)
LI HONGZHONG (CN)
GUO SHANXIN (CN)
LIU JUN (CN)
LI HONGZHONG (CN)
GUO SHANXIN (CN)
Application Number:
PCT/CN2020/140022
Publication Date:
October 21, 2021
Filing Date:
December 28, 2020
Export Citation:
Assignee:
SHENZHEN INST OF ADV TECH CAS (CN)
International Classes:
G06K9/00
Foreign References:
| CN111553212A | 2020-08-18 | |||
| CN110288017A | 2019-09-27 | |||
| CN110956157A | 2020-04-03 | |||
| CN108052940A | 2018-05-18 | |||
| CN109800755A | 2019-05-24 | |||
| CN108564109A | 2018-09-21 | |||
| US20020012451A1 | 2002-01-31 |
Other References:
SHENG YUAN: "Research on Object Detection Algorithm of Remote Sensing Images Based on Deep Learning", CHINESE MASTER'S THESES FULL-TEXT DATABASE, TIANJIN POLYTECHNIC UNIVERSITY, CN, 15 July 2020 (2020-07-15), CN , XP055857596, ISSN: 1674-0246
CAI ZHAOWEI; VASCONCELOS NUNO: "Cascade R-CNN: Delving Into High Quality Object Detection", 2018 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, IEEE, 18 June 2018 (2018-06-18), pages 6154 - 6162, XP033473531, DOI: 10.1109/CVPR.2018.00644
WANG GUOWEN: "Pedestrian and Vehicle Detection Using Improved YOLOv3 Network with Multiscale Feature Fusion", CHINESE MASTER'S THESES FULL-TEXT DATABASE, TIANJIN POLYTECHNIC UNIVERSITY, CN, 15 February 2020 (2020-02-15), CN , XP055857603, ISSN: 1674-0246
CAI ZHAOWEI; VASCONCELOS NUNO: "Cascade R-CNN: Delving Into High Quality Object Detection", 2018 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, IEEE, 18 June 2018 (2018-06-18), pages 6154 - 6162, XP033473531, DOI: 10.1109/CVPR.2018.00644
WANG GUOWEN: "Pedestrian and Vehicle Detection Using Improved YOLOv3 Network with Multiscale Feature Fusion", CHINESE MASTER'S THESES FULL-TEXT DATABASE, TIANJIN POLYTECHNIC UNIVERSITY, CN, 15 February 2020 (2020-02-15), CN , XP055857603, ISSN: 1674-0246
Attorney, Agent or Firm:
BEIJING ZHONG XUN TONG DA INTELLECTUAL PROPERTY AGENCY CO., LTD. (CN)
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