Electronics Optics & Control, Volume. 29, Issue 11, 74(2022)
A Remote Sensing Target Detection Algorithm Based on Multi-Scale Feature Enhancement CNNs
[4] [4] BURGER W,BURGE M J.Scale-invariant feature transform (SIFT)[M]//BURGER W,BURGE M J.Digital image processing.London:Springer,2016.
[5] [5] GUEDIRA M R,QADI A E,LRIT M R,et al.A novel method for image categorization based on histogram oriented gradient and support vector machine[C]//International Conference on Electrical and Information Technologies (ICEIT).Rabat:IEEE,2017:1-5.
[6] [6] FELZENSZWALB P F,MCALLESTER D A,RAMANAN D.A discriminatively trained,multiscale,deformable part model[C]//IEEE Conference on Computer Vision and Pattern Recognition.Anchorage:IEEE,2008:1-8.
[7] [7] GUO Y,JIA X,PAULL D.A domain-transfer support vector machine for multi-temporal remote sensing imagery classification[C]//IEEE International Geoscience and Remote Sensing Symposium.Fort Worth:IEEE,2017:2215-2218.
[8] [8] SHEYKHMOUSA M,MAHDIANPARI M,GHANBARI H,et al.Support vector machine versus random forest for remote sensing image classification:a meta-analysis and systematic review[J].IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2020,13:6308-6325.
[9] [9] BARALDI A.Fuzzification of a crisp near-real-time operational automatic spectral-rule-based decision tree preliminary classifier of multisource multispectral remotely sensed images[J].IEEE Transactions on Geoscience and Remote Sensing,2011,49(6):2113-2134.
[10] [10] YANG J,YE Z W,ZHANG X,et al.Attribute weighted Naive Bayes for remote sensing image classification based on cuckoo search algorithm[C]//International Conference on Security,Pattern Analysis,and Cybernetics (SPAC).Shenzhen:IEEE,2017:169-174.
[13] [13] LIU W,ANGUELOV D,ERHAN D,et al.SSD:single shot multi-box detector[R].Los Alamos: arXiv Preprint,2015: arXiv:1512.02325.
[14] [14] REDMON J,DIVVALA S,GIRSHICK R,et al.You only look once:unified,real-time object detection[R].Los Alamos: arXiv Preprint,2016: arXiv:1612.03144.
[15] [15] CAI Z W,VASCONCELOS N.Cascade R-CNN:delving into high quality object detection[R].Los Alamos: arXiv Preprint,2017: arXiv:1712.00726.
[16] [16] LIN T T,DOLLAR P,GIRSHICK R,et al.Feature pyramid networks for object detection[R].Los Alamos: arXiv Preprint,2016: arXiv:1612.03144.
[17] [17] SZEGEDY C,VANHOUCKE V,IOFFE S,et al.Rethinking the inception architecture for computer vision[R].Los Alamos: arXiv Preprint,2015: arXiv:1512.00567.
[18] [18] HE K M,ZHANG X Y,REN S Q,et al.Deep residual learning for image recognition[C]//IEEE Conference on Computer Vision and Pattern Recognition(CVPR).Las Vegas:IEEE,2016:770-778.
[19] [19] CHEN Y P,LI J N,XIAOH X,et al.Dual path networks[R].Los Alamos: arXiv Preprint,2017:arXiv:1707.01629v2.
[20] [20] HUANG G,LIU Z,LAURENS V,et al.Densely connected convolutional networks[C]//IEEE Conference on Computer Vision and Pattern Recognition (CVPR).Honolulu:IEEE,2017:2261-2269.
[21] [21] LIN T Y,GOYAL P,GIRSHICK R,et al.Focal loss for dense object detection[J].IEEE Transactions on Pattern Analysis & Machine Intelligence,2020,42(2): 318-327.
[22] [22] REN S Q,HE K M,GIRSHICK R, et al.Faster R-CNN:towards real-time object detection with region proposal networks[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2017,39(6):1137-1149.
Get Citation
Copy Citation Text
ZHOU Qinhan, WANG Zhen. A Remote Sensing Target Detection Algorithm Based on Multi-Scale Feature Enhancement CNNs[J]. Electronics Optics & Control, 2022, 29(11): 74
Category:
Received: Sep. 22, 2021
Accepted: --
Published Online: Feb. 10, 2023
The Author Email: