Rotation-aware and multi-scale convolutional neural network for object detection in remote sensing images
K Fu, Z Chang, Y Zhang, G Xu, K Zhang… - ISPRS Journal of …, 2020 - Elsevier
Object detection plays an important role in the field of remote sensing imagery analysis. The
most challenging issues in advancing this task are the large variation in object scales and …
most challenging issues in advancing this task are the large variation in object scales and …
Advances in fusion of optical imagery and LiDAR point cloud applied to photogrammetry and remote sensing
J Zhang, X Lin - International Journal of Image and Data Fusion, 2017 - Taylor & Francis
ABSTRACT Optical imagery and Light Detection And Ranging (LiDAR) point cloud are two
major data sources in the community of photogrammetry and remote sensing. Optical …
major data sources in the community of photogrammetry and remote sensing. Optical …
A new spatial-oriented object detection framework for remote sensing images
Although the orientation and scale properties of the objects in remote sensing images have
been widely considered in the modern deep learning-based object detection methods, the …
been widely considered in the modern deep learning-based object detection methods, the …
A novel nonlocal-aware pyramid and multiscale multitask refinement detector for object detection in remote sensing images
Object detection (OD) is an important task of computer vision and has been widely used in
many fields, including remote sensing (RS). However, the complex scenes, large-scale …
many fields, including remote sensing (RS). However, the complex scenes, large-scale …
Vehicle detection in aerial images based on region convolutional neural networks and hard negative example mining
T Tang, S Zhou, Z Deng, H Zou, L Lei - Sensors, 2017 - mdpi.com
Detecting vehicles in aerial imagery plays an important role in a wide range of applications.
The current vehicle detection methods are mostly based on sliding-window search and …
The current vehicle detection methods are mostly based on sliding-window search and …
Learning a rotation invariant detector with rotatable bounding box
L Liu, Z Pan, B Lei - arxiv preprint arxiv:1711.09405, 2017 - arxiv.org
Detection of arbitrarily rotated objects is a challenging task due to the difficulties of locating
the multi-angle objects and separating them effectively from the background. The existing …
the multi-angle objects and separating them effectively from the background. The existing …
Toward fast and accurate vehicle detection in aerial images using coupled region-based convolutional neural networks
Z Deng, H Sun, S Zhou, J Zhao… - IEEE Journal of Selected …, 2017 - ieeexplore.ieee.org
Vehicle detection in aerial images, being an interesting but challenging problem, plays an
important role for a wide range of applications. Traditional methods are based on sliding …
important role for a wide range of applications. Traditional methods are based on sliding …
Vehicle detection and counting in high-resolution aerial images using convolutional regression neural network
Vehicle detection and counting in aerial images have become an interesting research focus
since the last decade. It is important for a wide range of applications, such as urban planning …
since the last decade. It is important for a wide range of applications, such as urban planning …
Superpixel-based difference representation learning for change detection in multispectral remote sensing images
With the rapid technological development of various satellite sensors, high-resolution
remotely sensed imagery has been an important source of data for change detection in land …
remotely sensed imagery has been an important source of data for change detection in land …
FSoD-Net: Full-scale object detection from optical remote sensing imagery
Object detection is an essential task in computer vision. Recently, several convolution neural
network (CNN)-based detectors have achieved a great success in natural scenes. However …
network (CNN)-based detectors have achieved a great success in natural scenes. However …