TY - GEN
T1 - UAV Image Classification and Recognition Based on SVM and Non-Reference Adaptive Quality Evaluation
AU - Chen, Jiawei
AU - Ding, Wenrui
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/9/20
Y1 - 2018/9/20
N2 - I136 classification and recognition are the hotspots of UAV image processing and have broad application prospects. However it also has the disadvantage of heavy load and low efficiency to operators. In this paper, images are effectively processed as classification, layered and grade with a new type of algorithm combining with sparse matrix and SVM and feature extraction. Sparse matrix is used to classify images. And image quality features of wavelet transform, DCT, HAAR and entropy are extracted under image preprocessing to be normalized. Then, trainers and testers are constructed with cross-validated and multi-kernel parameters optimization under no reference. And the feedback of optionally retest result under full reference or semi-reference quality is modifying the trainer. Finally a new model with combing confused matrix is built to achieve adaptive quality evaluation.
AB - I136 classification and recognition are the hotspots of UAV image processing and have broad application prospects. However it also has the disadvantage of heavy load and low efficiency to operators. In this paper, images are effectively processed as classification, layered and grade with a new type of algorithm combining with sparse matrix and SVM and feature extraction. Sparse matrix is used to classify images. And image quality features of wavelet transform, DCT, HAAR and entropy are extracted under image preprocessing to be normalized. Then, trainers and testers are constructed with cross-validated and multi-kernel parameters optimization under no reference. And the feedback of optionally retest result under full reference or semi-reference quality is modifying the trainer. Finally a new model with combing confused matrix is built to achieve adaptive quality evaluation.
KW - SVM
KW - adaptive quality evaluation
KW - image feature
KW - multi-kernel parameters optimization
UR - https://www.scopus.com/pages/publications/85055710802
U2 - 10.1109/IMCEC.2018.8469647
DO - 10.1109/IMCEC.2018.8469647
M3 - 会议稿件
AN - SCOPUS:85055710802
T3 - Proceedings of 2018 2nd IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2018
SP - 407
EP - 410
BT - Proceedings of 2018 2nd IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2018
A2 - Xu, Bing
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2018
Y2 - 25 May 2018 through 27 May 2018
ER -