Results 1 to 10 of about 300,366 (322)
YOLO-HR: Improved YOLOv5 for Object Detection in High-Resolution Optical Remote Sensing Images
Remote Sensing, 2023 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.
Dahang Wan +5 more
doaj +2 more sources
Salient Object Detection in Optical Remote Sensing Images Driven by Transformer [PDF]
IEEE Transactions on Image Processing, 2023 Existing methods for Salient Object Detection in Optical Remote Sensing Images (ORSI-SOD) mainly adopt Convolutional Neural Networks (CNNs) as the backbone, such as VGG and ResNet.
Gongyang Li +4 more
semanticscholar +4 more sources
A Survey on Object Detection in Optical Remote Sensing Images [PDF]
ISPRS Journal of Photogrammetry and Remote Sensing, 2016 Object detection in optical remote sensing images, being a fundamental but challenging problem in the field of aerial and satellite image analysis, plays an important role for a wide range of applications and is receiving significant attention in recent years.
Gong Cheng, Junwei Han
semanticscholar +4 more sources
A novel cloud removal method by fusing features from SAR and neighboring optical remote sensing images. [PDF]
PLoS ONEOptical remote sensing images were prone to extensive cloud coverage, especially under mountainous conditions with frequent weather changes. To address this issue, this paper proposed a novel cloud removal method that integrated features from SAR and ...
Yuyao Wang, Jiehai Cheng
doaj +2 more sources
Remote Sensing, 2022 The intelligent detection of objects in remote sensing images has gradually become a research hotspot for experts from various countries, among which optical remote sensing images are considered to be the most important because of the rich feature ...
Kaihua Zhang, Haikuo Shen
doaj +2 more sources
Remote SensingSalient Object Detection (SOD) is gradually applied in natural scene images. However, due to the apparent differences between optical remote sensing images and natural scene images, directly applying the SOD of natural scene images to optical remote ...
Lina Huo +4 more
doaj +2 more sources
An Effective Multimodel Fusion Method for SAR and Optical Remote Sensing Images
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 Remote sensing images acquired by different sensors exhibit different characteristics due to their distinct imaging mechanisms. The fusion of Synthetic Aperture Radar (SAR) and optical remote sensing images is valuable for specific remote sensing image ...
Wenmei Li +6 more
doaj +2 more sources
Lightweight Salient Object Detection in Optical Remote-Sensing Images via Semantic Matching and Edge Alignment [PDF]
IEEE Transactions on Geoscience and Remote Sensing, 2023 Recently, relying on convolutional neural networks (CNNs), many methods for salient object detection in optical remote-sensing images (ORSI-SOD) are proposed.
Gongyang Li +3 more
semanticscholar +1 more source
Lightweight Salient Object Detection in Optical Remote Sensing Images via Feature Correlation [PDF]
IEEE Transactions on Geoscience and Remote Sensing, 2022 Salient object detection in optical remote sensing images (ORSI-SOD) has been widely explored for understanding ORSIs. However, previous methods focus mainly on improving the detection accuracy while neglecting the cost in memory and computation, which ...
Gongyang Li +4 more
semanticscholar +1 more source
Adjacent Context Coordination Network for Salient Object Detection in Optical Remote Sensing Images [PDF]
IEEE Transactions on Cybernetics, 2022 Salient object detection (SOD) in optical remote sensing images (RSIs), or RSI-SOD, is an emerging topic in understanding optical RSIs. However, due to the difference between optical RSIs and natural scene images (NSIs), directly applying NSI-SOD methods
Gongyang Li +4 more
semanticscholar +1 more source