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
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
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
Detection of Multiclass Objects in Optical Remote Sensing Images
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2018.2882778
Abstract: Object detection in complex optical remote sensing images is a challenging problem due to the wide variety of scales, densities, and shapes of object instances on the earth surface. In this letter, we focus on… read more here.
Keywords: remote sensing; object detection; optical remote; sensing images ... See more keywords
Task-Driven Regional Saliency Analysis Based on a Global–Local Feature Assembly Network in Complex Optical Remote Sensing Scenes
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2020.3006505
Abstract: Saliency analysis is an essential task in computer vision and aims to generate distinguishing foreground features from background features. However, due to complex structure distributions in large-scale optical remote sensing scenes, generating effective feature descriptions… read more here.
Keywords: saliency analysis; optical remote; remote sensing;
Fully Squeezed Multiscale Inference Network for Fast and Accurate Saliency Detection in Optical Remote-Sensing Images
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3161509
Abstract: Recently, salient object detection in optical remote-sensing images (RSIs) has received more and more attention. To tackle the challenges of RSIs including large-scale variation of objects, cluttered background, irregular shape of objects, and big difference… read more here.
Keywords: network; remote sensing; optical remote; detection ... See more keywords
Multiscale Semantic Fusion-Guided Fractal Convolutional Object Detection Network for Optical Remote Sensing Imagery
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2021.3108476
Abstract: Optical remote sensing object detection is a challenging task, because of the complex background interference, ambiguous appearances of tiny objects, densely arranged circumstances, and multiclass object with vaster scale variances and irregular aspect ratios. The… read more here.
Keywords: fusion; detection; remote sensing; object detection ... See more keywords
LOVD: Land Vehicle Detection in Complex Scenes of Optical Remote Sensing Image
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2021.3133109
Abstract: Nowadays, there is a growing body of research about object detection in remote sensing data. However, the detection algorithms for small targets in remote sensing areas are inadequate, largely because of the unavailability of high-quality… read more here.
Keywords: vehicle; targets remote; detection; small targets ... See more keywords
Few-Shot Scene Classification of Optical Remote Sensing Images Leveraging Calibrated Pretext Tasks
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3184080
Abstract: Small data hold big artificial intelligence (AI) potential. As one of the promising small data AI approaches, few-shot learning has the goal to learn a model efficiently that can recognize novel classes with extremely limited… read more here.
Keywords: scene classification; pretext tasks; shot scene; remote sensing ... See more keywords