Learning Rotation-Invariant Convolutional Neural Networks for Object Detection in VHR Optical Remote Sensing Images

Gong Cheng; Peicheng Zhou; Junwei Han

doi:10.1109/tgrs.2016.2601622

Learning Rotation-Invariant Convolutional Neural Networks for Object Detection in VHR Optical Remote Sensing Images

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2016.2601622 ◽

2016 ◽

Vol 54 (12) ◽

pp. 7405-7415 ◽

Cited By ~ 612

Author(s):

Gong Cheng ◽

Peicheng Zhou ◽

Junwei Han

Keyword(s):

Remote Sensing ◽

Neural Networks ◽

Object Detection ◽

Convolutional Neural Networks ◽

Optical Remote Sensing ◽

Remote Sensing Images ◽

Rotation Invariant

Object Detection in Optical Remote Sensing Images Based on Transfer Learning Convolutional Neural Networks

2018 5th IEEE International Conference on Cloud Computing and Intelligence Systems (CCIS) ◽

10.1109/ccis.2018.8691238 ◽

2018 ◽

Author(s):

Zhenguo Yan ◽

Xin Song ◽

Hanyang Zhong ◽

Xiaozhou Zhu

Keyword(s):

Remote Sensing ◽

Neural Networks ◽

Object Detection ◽

Transfer Learning ◽

Convolutional Neural Networks ◽

Optical Remote Sensing ◽

Remote Sensing Images

High-Performance Object Detection for Optical Remote Sensing Images with Lightweight Convolutional Neural Networks

2020 IEEE 22nd International Conference on High Performance Computing and Communications; IEEE 18th International Conference on Smart City; IEEE 6th International Conference on Data Science and Systems (HPCC/SmartCity/DSS) ◽

10.1109/hpcc-smartcity-dss50907.2020.00074 ◽

2020 ◽

Author(s):

Jia Liu ◽

Renhua Liu ◽

Kaijun Ren ◽

Xiaoyong Li ◽

Jianjian Xiang ◽

...

Keyword(s):

Remote Sensing ◽

Neural Networks ◽

Object Detection ◽

Convolutional Neural Networks ◽

High Performance ◽

Optical Remote Sensing ◽

Remote Sensing Images

Fast multiclass object detection in optical remote sensing images using region based convolutional neural networks

2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) ◽

10.1109/igarss.2017.8127088 ◽

2017 ◽

Cited By ~ 2

Author(s):

Zhipeng Deng ◽

Hao Sun ◽

Shilin Zhou ◽

Juanping Zhao ◽

Lin Lei ◽

...

Keyword(s):

Remote Sensing ◽

Neural Networks ◽

Object Detection ◽

Convolutional Neural Networks ◽

Optical Remote Sensing ◽

Remote Sensing Images

Rotation-Invariant Feature Learning for Object Detection in VHR Optical Remote Sensing Images by Double-Net

IEEE Access ◽

10.1109/access.2019.2960931 ◽

2020 ◽

Vol 8 ◽

pp. 20818-20827 ◽

Cited By ~ 5

Author(s):

Zhi Zhang ◽

Ruoqiao Jiang ◽

Shaohui Mei ◽

Shun Zhang ◽

Yifan Zhang

Keyword(s):

Remote Sensing ◽

Object Detection ◽

Feature Learning ◽

Optical Remote Sensing ◽

Remote Sensing Images ◽

Rotation Invariant ◽

Invariant Feature

Geospatial Object Detection In Remote Sensing Images Based On Multi-Scale Convolutional Neural Networks

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium ◽

10.1109/igarss.2019.8897851 ◽

2019 ◽

Cited By ~ 1

Author(s):

Qunli Yao ◽

Xian Hu ◽

Hong Lei

Keyword(s):

Remote Sensing ◽

Neural Networks ◽

Object Detection ◽

Convolutional Neural Networks ◽

Remote Sensing Images ◽

Multi Scale

Object Detection and Trcacking Based on Convolutional Neural Networks for High-Resolution Optical Remote Sensing Video

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium ◽

10.1109/igarss.2019.8898173 ◽

2019 ◽

Author(s):

Biao Hou ◽

Jingliang Li ◽

Xiangrong Zhang ◽

Shuang Wang ◽

Licheng Jiao

Keyword(s):

Remote Sensing ◽

Neural Networks ◽

High Resolution ◽

Object Detection ◽

Convolutional Neural Networks ◽

Optical Remote Sensing

Region-based convolutional neural networks for object detection in very high resolution remote sensing images

2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) ◽

10.1109/fskd.2016.7603232 ◽

2016 ◽

Cited By ~ 12

Author(s):

YuShe Cao ◽

Xin Niu ◽

Yong Dou

Keyword(s):

Remote Sensing ◽

Neural Networks ◽

High Resolution ◽

Object Detection ◽

Convolutional Neural Networks ◽

Remote Sensing Images ◽

Very High

Object detection in VHR optical remote sensing images via learning rotation-invariant HOG feature

2016 4th International Workshop on Earth Observation and Remote Sensing Applications (EORSA) ◽

10.1109/eorsa.2016.7552845 ◽

2016 ◽

Cited By ~ 7

Author(s):

Gong Cheng ◽

Peicheng Zhou ◽

Xiwen Yao ◽

Chao Yao ◽

Yanbang Zhang ◽

...

Keyword(s):

Remote Sensing ◽

Object Detection ◽

Optical Remote Sensing ◽

Remote Sensing Images ◽

Rotation Invariant

Ship detection in optical remote sensing images based on deep convolutional neural networks

Journal of Applied Remote Sensing ◽

10.1117/1.jrs.11.042611 ◽

2017 ◽

Vol 11 (04) ◽

pp. 1 ◽

Cited By ~ 30

Author(s):

Yuan Yao ◽

Zhiguo Jiang ◽

Haopeng Zhang ◽

Danpei Zhao ◽

Bowen Cai

Keyword(s):

Remote Sensing ◽

Neural Networks ◽

Convolutional Neural Networks ◽

Optical Remote Sensing ◽

Remote Sensing Images ◽

Deep Convolutional Neural Networks ◽

Ship Detection

Rotation-Invariant Latent Semantic Representation Learning for Object Detection in VHR Optical Remote Sensing Images

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium ◽

10.1109/igarss.2019.8899285 ◽

2019 ◽

Cited By ~ 1

Author(s):

Xiwen Yao ◽

Xiaoxu Feng ◽

Gong Cheng ◽

Junwei Han ◽

Lei Guo

Keyword(s):

Remote Sensing ◽

Object Detection ◽

Semantic Representation ◽

Representation Learning ◽

Optical Remote Sensing ◽

Remote Sensing Images ◽

Rotation Invariant