Remote sensing object detection meets deep learning: A metareview of challenges and advances

X Zhang, T Zhang, G Wang, P Zhu… - … and Remote Sensing …, 2023 - ieeexplore.ieee.org
Remote sensing object detection (RSOD), one of the most fundamental and challenging
tasks in the remote sensing field, has received long-standing attention. In recent years, deep …

Building a bridge of bounding box regression between oriented and horizontal object detection in remote sensing images

X Qian, B Wu, G Cheng, X Yao… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Oriented object detection (OOD) aims to precisely detect the objects with arbitrary orientation
in remote sensing images (RSIs). Up to now, most of the bounding box regression (BBR) …

Task interleaving and orientation estimation for high-precision oriented object detection in aerial images

Q Ming, L Miao, Z Zhou, J Song, Y Dong… - ISPRS Journal of …, 2023 - Elsevier
Oriented object detection in aerial images has received extensive attention due to its wide
range of application scenarios. Although great success has been achieved, current methods …

Yolo-hr: Improved yolov5 for object detection in high-resolution optical remote sensing images

D Wan, R Lu, S Wang, S Shen, T Xu, X Lang - Remote Sensing, 2023 - mdpi.com
Object detection is essential to the interpretation of optical remote sensing images and can
serve as a foundation for research into additional visual tasks that utilize remote sensing …

Towards real-time detection of ships and wakes with lightweight deep learning model in Gaofen-3 SAR images

K Ding, J Yang, H Lin, Z Wang, D Wang, X Wang… - Remote Sensing of …, 2023 - Elsevier
Synthetic aperture radar (SAR) is an important tool for achieving accurate and efficient
monitoring of maritime traffic by identifying ships and wakes. Ship wake can not only assist …

RoI fusion strategy with self-attention mechanism for object detection in remote sensing images

Y Zhang, Y Wang, N Zhang, Z Li, Z Zhao… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
In remote sensing image (RSI) object detection, the oriented bounding box (OBB) can
accurately locate objects with arbitrary orientation and obtain orientation information. The …

[HTML][HTML] OASL: Orientation-aware adaptive sampling learning for arbitrary oriented object detection

Z Zhao, S Li - International Journal of Applied Earth Observation and …, 2024 - Elsevier
Arbitrary oriented object detection (AOOD) is a fundamental task in aeiral image
interpretation, which is commonly implemented by optimizing three subtasks: classification …

AiTARs-Net: A novel network for detecting arbitrary-oriented transverse aeolian ridges from Tianwen-1 HiRIC images

Z Cao, Z Kang, T Hu, Z Yang, D Chen, X Ren… - ISPRS Journal of …, 2024 - Elsevier
Transverse aeolian ridges (TARs) are enigmatic landforms found across Mars, whose
formation mechanism remains largely unknown. China's Tianwen-1 mission, which landed …

Orientation-first strategy with angle attention module for rotated object detection in remote sensing images

Y Zhang, Y Wang, N Zhang, Z Li, Z Zhao… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
Recently, object detection in remote sensing images (RSIs) have received extensive
attention and made significant progress. Nonetheless, the arbitrary orientations of objects in …

Not All Boxes Are Equal: Learning to Optimize Bounding Boxes with Discriminative Distributions in Optical Remote Sensing Images

Q Ming, L Miao, Z Zhou, N Vercheval… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Detecting oriented objects in optical remote sensing images has been consistently
challenging due to difficulties in bounding boxes' localization. The cascaded regression …