Results 1 to 10 of about 2,530,334 (119)

A New Method of Different Neural Network Depth and Feature Map Size on Remote Sensing Small Target Detection

Inteligencia Artificial, 2021
Convolutional neural networks (CNNs) have shown strong learning capabilities in computer vision tasks such as classification and detection. Especially with the introduction of excellent detection models such as YOLO (V1, V2 and V3) and Faster R-CNN, CNNs
Yaming Cao, ZHEN YANG, CHEN GAO
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TME-targeting nano-theranostic agent for NIR fluorescence diagnosis and O2-economized PDT-based multimodal synergistic therapy

Materials & Design, 2023
The accurate diagnosis and effective therapy of malignant tumors is still a challenge owing to its poor prognosis, recurrence, and drug resistance. In this study, a tumor microenvironment responsive and high O2-economic effect nano-theranostic agent GOx ...
Chi Meng, Xudong Xie, Jianqiang Qian, Weizhi Tao, Hongmei Wu, Dongliang Ji, Ge Gao, Ruojia Wang, Changchun Ling, Yanan Zhang, Xin Liu, Yong Ling   +11 more
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SY-Net: A Rice Seed Instance Segmentation Method Based on a Six-Layer Feature Fusion Network and a Parallel Prediction Head Structure

Sensors, 2023
During the rice quality testing process, the precise segmentation and extraction of grain pixels is a key technique for accurately determining the quality of each seed.
Sheng Ye, Weihua Liu, Shan Zeng, Guiju Wu, Liangyan Chen, Huaqing Lai, Zi Yan   +6 more
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Rapid Detection of Wheat Ears in Orthophotos From Unmanned Aerial Vehicles in Fields Based on YOLOX

Frontiers in Plant Science, 2022
Wheat ears in unmanned aerial vehicles (UAV) orthophotos are characterized by occlusion, small targets, dense distribution, and complex backgrounds. Rapid identification of wheat ears in UAV orthophotos in a field environment is critical for wheat yield ...
Yao Zhaosheng, Yao Zhaosheng, Liu Tao, Liu Tao, Yang Tianle, Yang Tianle, Ju Chengxin, Ju Chengxin, Sun Chengming, Sun Chengming   +9 more
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An Improved Method for Ship Target Detection Based on YOLOv4

Applied Sciences, 2023
The resolution of remote sensing images has increased with the maturation of satellite technology. Ship detection technology based on remote sensing images makes it possible to monitor a large range and far sea area, which can greatly enrich the ...
Zexian Huang, Xiaonan Jiang, Fanlu Wu, Yao Fu, Yu Zhang, Tianjiao Fu, Junyan Pei   +6 more
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ANLPT: Self-Adaptive and Non-Local Patch-Tensor Model for Infrared Small Target Detection

Remote Sensing, 2023
Infrared small target detection is widely used for early warning, aircraft monitoring, ship monitoring, and so on, which requires the small target and its background to be represented and modeled effectively to achieve their complete separation. Low-rank
Zhao Zhang, Cheng Ding, Zhisheng Gao, Chunzhi Xie   +3 more
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SII-Net: Spatial Information Integration Network for Small Target Detection in SAR Images

Remote Sensing, 2022
Ship detection based on synthetic aperture radar (SAR) images has made a breakthrough in recent years. However, small ships, which may be regarded as speckle noise, pose enormous challenges to the accurate detection of SAR images. In order to enhance the
Nan Su, Jiayue He, Yiming Yan, Chunhui Zhao, Xiangwei Xing   +4 more
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Improved Algorithm for Insulator and Its Defect Detection Based on YOLOX

Sensors, 2022
Aerial insulator defect images have some features. For instance, the complex background and small target of defects would make it difficult to detect insulator defects quickly and accurately.
Gujing Han, Tao Li, Qiang Li, Feng Zhao, Min Zhang, Ruijie Wang, Qiwei Yuan, Kaipei Liu, Liang Qin   +8 more
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HFPNet: Super Feature Aggregation Pyramid Network for Maritime Remote Sensing Small-Object Detection

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
In recent years, with the development of the maritime industry, computer vision tasks based on optical remote sensing images have gained increasing attention in the field of marine remote sensing.
Chengcheng Chen, Weiming Zeng, Xiliang Zhang   +2 more
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An Enhanced Feature Extraction Framework for Cross-Modal Image–Text Retrieval

Remote Sensing
In general, remote sensing images depict intricate scenes. In cross-modal retrieval tasks involving remote sensing images, the accompanying text includes numerus information with an emphasis on mainly large objects due to higher attention, and the ...
Jinzhi Zhang, Luyao Wang, Fuzhong Zheng, Xu Wang, Haisu Zhang   +4 more
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