A Comparison: Different DCNN Models for Intelligent Object Detection in Remote Sensing Images
Sign Up to like & getrecommendations! Published in 2018 at "Neural Processing Letters"
DOI: 10.1007/s11063-018-9878-5
Abstract: Abstract In recent years, deep learning especially deep convolutional neural networks (DCNN) has made great progress. Many researchers take advantage of different DCNN models to do object detection in remote sensing. Different DCNN models have different… read more here.
Keywords: object detection; detection remote; remote sensing; different dcnn ... See more keywords
A novel hybrid deep learning approach for super-resolution and objects detection in remote sensing
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-01476-3
Abstract: Object detection in remote sensing imagery presents challenges due to low resolution, complex backgrounds, occlusions, and scale variations, which are critical in disaster response, environmental monitoring, and surveillance. This study proposes a robust object detection… read more here.
Keywords: detection; object detection; remote sensing; super resolution ... See more keywords
Dynamic Progressive Activation With Adaptive Constraints for Rotated Object Detection in Remote Sensing Images
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2025.3634774
Abstract: Despite progress in applying Vision Transformers to rotated object detection in remote sensing images, current cascade activation mask mechanisms still exhibit two critical limitations: first, their reliance on static masks limits adaptability to the diverse… read more here.
Keywords: object detection; sensing images; rotated object; activation ... See more keywords
Improved Faster R-CNN With Multiscale Feature Fusion and Homography Augmentation for Vehicle Detection in Remote Sensing Images
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2019.2909541
Abstract: Vehicle detection in remote sensing images has attracted remarkable attention for its important role in a variety of applications in traffic, security, and military fields. Motivated by the stunning success of region convolutional neural network… read more here.
Keywords: detection remote; remote sensing; vehicle detection; sensing images ... See more keywords
Multi-Perspective Object Detection for Remote Criminal Analysis Using Drones
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2019.2940546
Abstract: When a crime is committed, the associated site must be preserved and reviewed by a criminal expert. Some tools are commonly used to ensure the total registration of the crime scene with a minimal human… read more here.
Keywords: detection remote; multi perspective; object detection; crime ... See more keywords
Richer U-Net: Learning More Details for Road Detection in Remote Sensing Images
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3081774
Abstract: Road detection in remote sensing images has been an important research topic in the past few decades. However, with complex backgrounds and occlusion of vehicles and trees, it is difficult for most road detection methods… read more here.
Keywords: road; remote sensing; detection remote; detection ... See more keywords
Global to Local: Clip-LSTM-Based Object Detection From Remote Sensing Images
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2021.3064840
Abstract: Object detection from remote sensing images (RSIs) is a basic topic in the area of aviation and satellite image processing, which has great effects on geological disaster detection, agricultural planning, and land utilization. However, it… read more here.
Keywords: remote sensing; detection remote; detection; object detection ... See more keywords
GCWNet: A Global Context-Weaving Network for Object Detection in Remote Sensing Images
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3155899
Abstract: With practical applications such as environment surveillance, agricultural production, and disaster assessment, accurate object detection in remote sensing images is in high demand. Precise detection of object instances in remote sensing images remains considerably challenging… read more here.
Keywords: detection remote; remote sensing; object detection; sensing images ... See more keywords
FSANet: Feature-and-Spatial-Aligned Network for Tiny Object Detection in Remote Sensing Images
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3205052
Abstract: Recently, many studies have successfully exploited convolutional neural networks to improve the performance of object detection in remote sensing images. However, detecting tiny objects is still challenging for two main neglected problems: i) The features… read more here.
Keywords: network; remote sensing; feature; detection remote ... See more keywords
GSDDet: Ground Sample Distance-Guided Object Detection for Remote Sensing Images
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3309838
Abstract: Object detection for remote sensing images (ODRSI) is an important task in computer vision. Effective algorithms inspired by oriented object detection have been proposed recently. However, a major challenge still remains. Different categories of objects… read more here.
Keywords: object detection; remote sensing; detection remote; sensing images ... See more keywords
Adaptive Composite Feature Generation for Object Detection in Remote Sensing Images
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2024.3424295
Abstract: Object detection in remote sensing images identifies and extracts the acquired Earth surface information, providing data support and research basis for multiple fields. Remote sensing image object detection based on knowledge distillation (KD) can transfer… read more here.
Keywords: object detection; sensing images; remote sensing; feature ... See more keywords