Acta Optica Sinica, Volume. 42, Issue 24, 2428004(2022)
Target Detection in Remote Sensing Images Based on Improved Cascade Algorithm
[1] Yang F, Fan H, Chu P et al. Clustered object detection in aerial images[C], 8310-8319(2019).
[2] Cui Z Y, Li Q, Cao Z J et al. Dense attention pyramid networks for multi-scale ship detection in SAR images[J]. IEEE Transactions on Geoscience and Remote Sensing, 57, 8983-8997(2019).
[3] Cheng G, Si Y J, Hong H L et al. Cross-scale feature fusion for object detection in optical remote sensing images[J]. IEEE Geoscience and Remote Sensing Letters, 18, 431-435(2021).
[4] Ma W P, Guo Q Q, Wu Y et al. A novel multi-model decision fusion network for object detection in remote sensing images[J]. Remote Sensing, 11, 737(2019).
[5] Chen C Y, Gong W G, Chen Y L et al. Object detection in remote sensing images based on a scene-contextual feature pyramid network[J]. Remote Sensing, 11, 339(2019).
[6] 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).
[7] Ju M R, Luo J N, Wang Z B et al. Multi-scale target detection algorithm based on attention mechanism[J]. Acta Optica Sinica, 40, 1315002(2020).
[8] Deng S J, Wang H Y, Xu A et al. Target detection method based on antigrowth[J]. Acta Optica Sinica, 42, 0210002(2022).
[9] Xie X L, Li C X, Yang X G et al. Dynamic receptive field-based object detection in aerial imaging[J]. Acta Optica Sinica, 40, 0415001(2020).
[10] Cai Z W, Vasconcelos N. Cascade R-CNN: delving into high quality object detection[C], 6154-6162(2018).
[11] 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).
[12] He K M, Zhang X Y, Ren S Q et al. Deep residual learning for image recognition[C], 770-778(2016).
[13] Qiao S Y, Chen L C, Yuille A. DetectoRS: detecting objects with recursive feature pyramid and switchable atrous convolution[C], 10208-10219(2021).
[14] Chen L C, Papandreou G, Kokkinos I et al. DeepLab: semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected CRFs[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 40, 834-848(2018).
[15] Guo C X, Fan B, Zhang Q et al. AugFPN: improving multi-scale feature learning for object detection[C], 12592-12601(2020).
[16] Wang J Q, Chen K, Yang S et al. Region proposal by guided anchoring[C], 2960-2969(2019).
[17] Lin T Y, Goyal P, Girshick R et al. Focal loss for dense object detection[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 42, 318-327(2020).
[18] Tychsen-Smith L, Petersson L. Improving object localization with fitness NMS and bounded IoU loss[C], 6877-6885(2018).
[19] Xu Z Z, Xu X, Wang L et al. Deformable ConvNet with aspect ratio constrained NMS for object detection in remote sensing imagery[J]. Remote Sensing, 9, 1312(2017).
[20] Wu Y, Chen Y P, Yuan L et al. Rethinking classification and localization for object detection[C], 10183-10192(2020).
[21] Ren J J, Wang N. Research on cost function in artificial neural network[J]. Journal of Gansu Normal Colleges, 23, 61-63(2018).
[22] Wu S K, Yang J R, Wang X G et al. IoU-balanced loss functions for single-stage object detection[J]. Pattern Recognition Letters, 156, 96-103(2022).
[23] Zhang Y L, Yuan Y, Feng Y C et al. Hierarchical and robust convolutional neural network for very high-resolution remote sensing object detection[J]. IEEE Transactions on Geoscience and Remote Sensing, 57, 5535-5548(2019).
[24] Zhu P F, Wen L Y, Du D W et al. VisDrone-VDT2018: the vision meets drone video detection and tracking challenge results[M]. Leal-Taixé L, Roth S. Computer vision-ECCV 2018 workshops, 11133, 496-518(2019).
[27] Zhang L, Wang Y H, Huo Y. Object detection in high-resolution remote sensing images based on a hard-example-mining network[J]. IEEE Transactions on Geoscience and Remote Sensing, 59, 8768-8780(2021).
[28] Law H, Deng J. CornerNet: detecting objects as paired keypoints[J]. International Journal of Computer Vision, 128, 642-656(2020).
[30] Lin T Y, Dollár P, Girshick R et al. Feature pyramid networks for object detection[C], 936-944(2017).
[32] Zhang S F, Wen L Y, Bian X et al. Single-shot refinement neural network for object detection[C], 4203-4212(2018).
Get Citation
Copy Citation Text
Youwei Wang, Ying Guo, Xiangying Shao. Target Detection in Remote Sensing Images Based on Improved Cascade Algorithm[J]. Acta Optica Sinica, 2022, 42(24): 2428004
Category: Remote Sensing and Sensors
Received: Mar. 16, 2022
Accepted: May. 28, 2022
Published Online: Dec. 14, 2022
The Author Email: Guo Ying (yguo@nuist.edu.cn)