위성 영상에서 객체 검출과 관련된 논문들 목록 정리

Recently Dataset

• DOTA: A Large-scale Dataset for Object Detection in Aerial Images
• DIOR: Object Detection in Optical Remote Sensing Images: A Survey and A New Benchmark

Review

• DIOR: Object Detection in Optical Remote Sensing Images: A Survey and A New Benchmark
• Vessel detection and classification from spaceborne optical images: A literature survey(배 검출 및 분류에 특화)

Data Augmentation

• A Data Augmentation Strategy Based on Simulated Samples for Ship Detection in RGB Remote Sensing Images

Super-Resolution

• The Effects of Super-Resolution on Object Detection Performance in Satellite Imagery

Object Detection

Ship(One Class) Detection

• A Method of Ship Detection under Complex Background
• Automatic Ship Detection in Remote Sensing Images from Google Earth of Complex Scenes Based on Multiscale Rotation Dense Feature Pyramid Networks
• R-CNN-Based Ship Detection from High Resolution Remote Sensing Imagery
• S-CNN-BASED SHIP DETECTION FROM HIGH-RESOLUTION REMOTE SENSING IMAGES
• Ship Detection for Optical Remote Sensing Images Based on Visual Attention Enhanced Network
• Ship Detection from Optical Remote Sensing Images Using Multi-Scale Analysis and Fourier HOG Descriptor(고전적인 접근)
• Ship Detection in Optical Satellite Images via Directional Bounding Boxes Based on Ship Center and Orientation Prediction
• SHIP DETECTION WITHOUT SEA-LAND SEGMENTATION FOR LARGE-SCALE HIGH RESOLUTION OPTICAL SATELLITE IMAGES
• Towards Automated Ship Detection and Category Recognition from High-Resolution Aerial Images

Multiple Object Detection

• A2RMNet: Adaptively Aspect Ratio Multi-Scale Network for Object Detection in Remote Sensing Images
• CAD-Net: A Context-Aware Detection Network for Objects in Remote Sensing Imagery
• Deformable ConvNet with Aspect Ratio Constrained NMS for Object Detection in Remote Sensing Imagery
• Learning RoI Transformer for Oriented Object Detection in Aerial Images
• Enhanced Feature Representation in Detection for Optical Remote Sensing Images
• Geospatial Object Detection in High Resolution Satellite Images Based on Multi-Scale Convolutional Neural Network
• Geospatial Object Detection in Remote Sensing Imagery Based on Multiscale Single-Shot Detector with Activated Semantics
• Learning a Rotation Invariant Detector with Rotatable Bounding Box
• Multiple-Oriented and Small Object Detection with Convolutional Neural Networks for Aerial Image
• Multi-scale object detection in remote sensing imagery with convolutional neural networks
• OBJECT DETECTION IN SATELLITE IMAGERY USING 2-STEP CONVOLUTIONAL NEURAL NETWORKS
• Object Detection in Very High-Resolution Aerial Images Using One-Stage Densely Connected Feature Pyramid Network
• RBox-CNN: Rotated Bounding Box based CNN for Ship Detection in Remote Sensing Image
• ROTATED REGION BASED FULLY CONVOLUTIONAL NETWORK FOR SHIP DETECTION
• SCRDet: Towards More Robust Detection for Small, Cluttered and Rotated Objects