A robust end-to-end deep learning framework for detecting Martian landforms with arbitrary orientations

[1]  Rob Fergus,et al.  Visualizing and Understanding Convolutional Networks , 2013, ECCV.

[2]  Christian Wöhler,et al.  Hybrid method for crater detection based on topography reconstruction from optical images and the new LU78287GT catalogue of Lunar impact craters , 2014 .

[3]  Yu Wu,et al.  Automated detection of kidney abnormalities using multi-feature fusion convolutional neural networks , 2020, Knowl. Based Syst..

[4]  Michael S. Bernstein,et al.  ImageNet Large Scale Visual Recognition Challenge , 2014, International Journal of Computer Vision.

[5]  Pedro Pina,et al.  Automatic Recognition of Impact Craters on the Surface of Mars , 2004, ICIAR.

[6]  Terrence Fong,et al.  Automatic Crater Detection Using Convex Grouping and Convolutional Neural Networks , 2015, ISVC.

[7]  Yuxing Tang,et al.  Visual and Semantic Knowledge Transfer for Large Scale Semi-Supervised Object Detection , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[8]  Geoffrey J. Hay,et al.  Geographic object-based image analysis (GEOBIA): emerging trends and future opportunities , 2018 .

[9]  Kaiming He,et al.  Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[10]  Wenxian Yu,et al.  Toward Arbitrary-Oriented Ship Detection With Rotated Region Proposal and Discrimination Networks , 2018, IEEE Geoscience and Remote Sensing Letters.

[11]  Pheng-Ann Heng,et al.  Ultrasound Standard Plane Detection Using a Composite Neural Network Framework , 2017, IEEE Transactions on Cybernetics.

[12]  Tomasz F. Stepinski,et al.  Automatic detection of sub-km craters in high resolution planetary images , 2009 .

[13]  Biao Li,et al.  Multiscale Rotated Bounding Box-Based Deep Learning Method for Detecting Ship Targets in Remote Sensing Images , 2018, Sensors.

[14]  Rongjun Qin,et al.  A Hierarchical Building Detection Method for Very High Resolution Remotely Sensed Images Combined with DSM Using Graph Cut Optimization , 2014 .

[15]  Bo Du,et al.  Deep Learning for Remote Sensing Data: A Technical Tutorial on the State of the Art , 2016, IEEE Geoscience and Remote Sensing Magazine.

[16]  Shuai Li,et al.  End-to-End Airport Detection in Remote Sensing Images Combining Cascade Region Proposal Networks and Multi-Threshold Detection Networks , 2018, Remote. Sens..

[17]  Juan Antonio Álvarez,et al.  Evaluation of deep neural networks for traffic sign detection systems , 2018, Neurocomputing.

[18]  Shuanggen Jin,et al.  Automatic detection of impact craters on Mars using a modified adaboosting method , 2014 .

[19]  Ricardo Vilalta,et al.  Detecting Impact Craters in Planetary Images Using Machine Learning , 2012 .

[20]  Lin Lei,et al.  Arbitrary-Oriented Vehicle Detection in Aerial Imagery with Single Convolutional Neural Networks , 2017, Remote. Sens..

[21]  Weiwei Jiang,et al.  Simultaneous Ship Detection and Orientation Estimation in SAR Images Based on Attention Module and Angle Regression , 2018, Sensors.

[22]  Andreas Geiger,et al.  Vision meets robotics: The KITTI dataset , 2013, Int. J. Robotics Res..

[23]  Geoffrey E. Hinton,et al.  Deep Learning , 2015, Nature.

[24]  Xin Xin,et al.  Automated detection of new impact sites on Martian surface from HiRISE images , 2017 .

[25]  Wei Liu,et al.  SSD: Single Shot MultiBox Detector , 2015, ECCV.

[26]  Yizhou Yu,et al.  Contrast-Oriented Deep Neural Networks for Salient Object Detection , 2018, IEEE Transactions on Neural Networks and Learning Systems.

[27]  Michael C. Burl,et al.  Onboard object recognition for planetary exploration , 2011, Machine Learning.

[28]  K. Vinod Kumar,et al.  An object-based classification method for automatic detection of lunar impact craters from topographic data , 2016 .

[29]  Roberto Santana,et al.  Detection of sand dunes on Mars using a regular vine-based classification approach , 2019, Knowl. Based Syst..

[30]  Wei Liu,et al.  Improving Street Object Detection Using Transfer Learning: From Generic Model to Specific Model , 2018, J. Adv. Comput. Intell. Intell. Informatics.

[31]  Luc Van Gool,et al.  The Pascal Visual Object Classes (VOC) Challenge , 2010, International Journal of Computer Vision.

[32]  Wei Ding,et al.  Detection of Sub-Kilometer Craters in High Resolution Planetary Images Using Shape and Texture Features , 2012 .

[33]  Hoo-Chang Hoo-Chang Shin Shin,et al.  Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning , 2016, Ieee Transactions on Medical Imaging.

[34]  Xin Xin,et al.  Automatic detection of Martian dark slope streaks by machine learning using HiRISE images , 2017 .

[35]  Pietro Perona,et al.  Microsoft COCO: Common Objects in Context , 2014, ECCV.

[36]  Yi Zhou,et al.  Automatic detection of lunar craters based on DEM data with the terrain analysis method , 2018, Planetary and Space Science.

[37]  K. Di,et al.  Automated Detection of Martian Gullies from HiRISE Imagery , 2015 .

[38]  Jun Li,et al.  Lunar Crater Detection Based on Terrain Analysis and Mathematical Morphology Methods Using Digital Elevation Models , 2018, IEEE Transactions on Geoscience and Remote Sensing.

[39]  Yoram Singer,et al.  Adaptive Subgradient Methods for Online Learning and Stochastic Optimization , 2011, J. Mach. Learn. Res..

[40]  Leon F. Palafox,et al.  Automated detection of geological landforms on Mars using Convolutional Neural Networks , 2017, Comput. Geosci..