Experimental investigation on the optical remote sensing images of internal solitary waves with a smooth surface
Sign Up to like & getrecommendations! Published in 2019 at "Acta Oceanologica Sinica"
DOI: 10.1007/s13131-019-1387-5
Abstract: The parameter inversion of internal solitary waves (ISWs) based on optical remote sensing images is a key work. A new approach is proposed and demonstrated for simulating the optical remote sensing images of ISWs with… read more here.
Keywords: optical remote; smooth surface; sensing images; remote sensing ... See more keywords
Ship detection based on fused features and rebuilt YOLOv3 networks in optical remote-sensing images
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Remote Sensing"
DOI: 10.1080/01431161.2020.1811422
Abstract: ABSTRACT Automatic ship detection in optical remote-sensing (ORS) images has wide applications in civil and military fields. Research on ship detection in ORS images started late compared to synthetic aperture radar (SAR) images, and it… read more here.
Keywords: detection; optical remote; network; remote sensing ... See more keywords
A novel lightweight YOLO11-based framework for precisely locating diverse ship targets in complex optical remote sensing photographs
Sign Up to like & getrecommendations! Published in 2025 at "Measurement Science and Technology"
DOI: 10.1088/1361-6501/adc75b
Abstract: Detecting ship targets in optical remote sensing images is crucial for ensuring the safety of maritime traffic. However, remote sensing ship detection faces challenges such as low resolution, dense distribution, and multi-scale variations. Additionally, complex… read more here.
Keywords: detection; optical remote; remote sensing; targets complex ... See more keywords
Rotation-Invariant Feature Learning for Object Detection in VHR Optical Remote Sensing Images by Double-Net
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2019.2960931
Abstract: Rotation-invariant feature extraction is crucial for object detection in Very High Resolution (VHR) optical remote sensing images. Although convolutional neural networks (CNNs) are good at extracting the translation-invariant features and have been widely applied in… read more here.
Keywords: remote sensing; vhr optical; rotation; rotation invariant ... See more keywords
Delimitation of Landslide Areas in Optical Remote Sensing Images Across Regions via Deep Transfer Learning
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3514216
Abstract: Optical remote sensing images, with their high spatial resolution and wide coverage, have emerged as invaluable tools for landslide analysis. However, visual interpretation and manual delimitation of landslide areas in optical remote sensing images is… read more here.
Keywords: optical remote; delimitation landslide; remote sensing; landslide areas ... See more keywords
LQ-MixerNeT: A CNN-Transformer Deep Fusion-Based Model for Object Detection in Optical Remote Sensing Images
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3569658
Abstract: To address the challenges of low detection accuracy in optical remote sensing images (RSIs) caused by densely distributed targets, extreme scale variations, and insufficient feature representation of small objects, this paper proposes LQ-MixerNeT, a novel… read more here.
Keywords: detection; optical remote; fusion; remote sensing ... See more keywords
An Accurate Calculation of the Atmospheric Refraction Error of Optical Remote Sensing Images Based on the Fine-Layered Light Vector Method
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2022.3143883
Abstract: Atmospheric refraction is an important factor that affects the positioning accuracy of optical high-resolution satellite imaging. Current calculation methods do not consider regional change characteristics in the atmosphere; the atmospheric division model is rough and… read more here.
Keywords: remote sensing; optical remote; refraction; model ... See more keywords
Cloud Removal Based on SAR-Optical Remote Sensing Data Fusion via a Two-Flow Network
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2022.3203508
Abstract: Optical remote sensing imagery plays an important role in observing the Earth's surface today. However, it is not easy to obtain complete multitemporal optical remote sensing images because of the cloud cover, how reconstructing cloud-free… read more here.
Keywords: network; remote sensing; optical remote; two flow ... See more keywords
Observation of Mode-2 Internal Solitary Waves in the Northern South China Sea Based on Optical Remote Sensing
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2024.3414846
Abstract: Due to the small scale and short lifetimes of mode-2 internal solitary waves (ISWs), they are seldom observed by satellite images. This study investigated the optical remote sensing imaging characteristics of mode-2 ISWs through physical… read more here.
Keywords: remote sensing; mode; mode isws; optical remote ... See more keywords
A Noise-Robust Blind Deblurring Algorithm With Wavelet-Enhanced Diffusion Model for Optical Remote Sensing Images
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2024.3422175
Abstract: Blind deblurring of optical remote sensing images has been a longstanding challenge. In recent years, many learning-based deblurring algorithms have been greatly developed. However, these methods often suffer from losing image texture details and some… read more here.
Keywords: remote sensing; diffusion model; blind deblurring; optical remote ... See more keywords
Progressive Enhancement of Foreground Features for Salient Object Detection in Optical 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.2025.3545681
Abstract: Salient object detection (SOD) in optical remote sensing images (ORSI) has attracted considerable attention in recent years. With the rapid advancement of deep learning techniques, ORSI-SOD development has been remarkable. However, existing models continue to… read more here.
Keywords: enhancement; module; optical remote; remote ... See more keywords