Remote sensing object detection meets deep learning: A metareview of challenges and advances
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 …
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
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) …
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
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 …
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 …
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 …
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 …
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 …
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 …
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 …
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
Detecting oriented objects in optical remote sensing images has been consistently
challenging due to difficulties in bounding boxes' localization. The cascaded regression …
challenging due to difficulties in bounding boxes' localization. The cascaded regression …