Laser & Optoelectronics Progress, Volume. 58, Issue 2, 0228003(2021)

Remote Sensing Image Target Detection Model Based on Attention and Feature Fusion

Yani Wang and Xili Wang*
Author Affiliations
  • School of Computer Science, Shaanxi Normal University, Xi'an, Shaanxi 710119, China
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    References(22)

    [2] Girshick R. Fast R-CNN. [C]∥2015 IEEE International Conference on Computer Vision (ICCV), December 7-13, 2015, Santiago, Chile. New York: IEEE, 1440-1448(2015).

    [3] Liu W, Anguelov D, Erhan D et al. SSD: single shot MultiBox detector[M]. ∥Leibe B, Matas J, Sebe N, et al. Computer Vision-ECCV 2016. Lecture Notes in Computer Science. Cham: Springer, 9905, 21-37(2016).

    [4] Sommer L W, Schuchert T, Beyerer J. Fast deep vehicle detection in aerial images. [C]∥2017 IEEE Winter Conference on Applications of Computer Vision (WACV), March 24-31, 2017, Santa Rosa, CA, USA. New York: IEEE, 311-319(2017).

    [5] Long Y, Gong Y P, Xiao Z F et al. Accurate object localization in remote sensing images based on convolutional neural networks[J]. IEEE Transactions on Geoscience and Remote Sensing, 55, 2486-2498(2017).

    [7] Tian Z Z, Wang W, Zhan R H et al. Cascaded detection framework based on a novel backbone network and feature fusion[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 12, 3480-3491(2019).

    [8] Zhang W H, Jiao L C, Liu X et al. Multi-scale feature fusion network for object detection in VHR optical remote sensing images. [C]∥IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium, July 28-August 2, 2019, Yokohama, Japan. New York: IEEE, 330-333(2019).

    [11] Jaderberg M, Simonyan K, Zisserman A et al[2020-06-25]. Spatial transformer networks [2020-06-25].https: ∥arxiv., org/abs/1506, 02025.

    [12] Shelhamer E, Long J, Darrell T. Fully convolutional networks for semantic segmentation[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39, 640-651(2017).

    [13] Bodla N, Singh B, Chellappa R et al. Soft-NMS: improving object detection with one line of code. [C]∥2017 IEEE International Conference on Computer Vision (ICCV), October 22-29, 2017, Venice, Italy. New York: IEEE, 5562-5570(2017).

    [14] Neubeck A, van Gool L. Efficient non-maximum suppression. [C]∥18th International Conference on Pattern Recognition (ICPR'06), August 20-24, 2006, Hong Kong, China. New York: IEEE, 850-855(2006).

    [15] Zhu H G, Chen X G, Dai W Q et al. Orientation robust object detection in aerial images using deep convolutional neural network. [C]∥2015 IEEE International Conference on Image Processing (ICIP), September 27-30, 2015, Quebec City, QC, Canada. New York: IEEE, 3735-3739(2015).

    [16] Cheng G, Han J W, Zhou P C et al. Multi-class geospatial object detection and geographic image classification based on collection of part detectors[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 98, 119-132(2014).

    [17] Xia G S, Bai X, Ding J et al. DOTA: alarge-scale dataset for object detection in aerial images. [C]∥2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, June 18-23, 2018, Salt Lake City, UT, USA. New York: IEEE, 3974-3983(2018).

    [18] Cheng G, Zhou P C, Han J W. Learning rotation-invariant convolutional neural networks for object detection in VHR optical remote sensing images[J]. IEEE Transactions on Geoscience and Remote Sensing, 54, 7405-7415(2016).

    [19] Fu C Y, Liu W, Ranga A et al[2020-06-25]. DSSD: deconvolutional single shot detector [2020-06-25].https: ∥arxiv., org/abs/1701, 06659.

    [20] Li H Y, Li C G, An J B et al. Attention mechanism improves CNN remote sensing image object detection[J]. Journal of Image and Graphics, 24, 1400-1408(2019).

    [21] Ren Y, Zhu C R, Xiao S P. Deformable faster R-CNN with aggregating multi-layer features for partially occluded object detection in optical remote sensing images[J]. Remote Sensing, 10, 1470(2018).

    [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, 39, 1137-1149(2017).

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    Yani Wang, Xili Wang. Remote Sensing Image Target Detection Model Based on Attention and Feature Fusion[J]. Laser & Optoelectronics Progress, 2021, 58(2): 0228003

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    Paper Information

    Category: Remote Sensing and Sensors

    Received: Jul. 6, 2020

    Accepted: Aug. 13, 2020

    Published Online: Jan. 11, 2021

    The Author Email: Wang Xili (wangxili@snnu.edu.cn)

    DOI:10.3788/LOP202158.0228003

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