Results 21 to 30 of about 558,332 (197)
Efficient YOLOv7-Drone: An Enhanced Object Detection Approach for Drone Aerial Imagery
Drones, 2023 In recent years, the rise of low-cost mini rotary-wing drone technology across diverse sectors has emphasized the crucial role of object detection within drone aerial imagery.
Xiaofeng Fu +4 more
semanticscholar +1 more source
FloodNet: A High Resolution Aerial Imagery Dataset for Post Flood Scene Understanding [PDF]
IEEE Access, 2020 Visual scene understanding is the core task in making any crucial decision in any computer vision system. Although popular computer vision datasets like Cityscapes, MS-COCO, PASCAL provide good benchmarks for several tasks (e.g.
Maryam Rahnemoonfar +5 more
semanticscholar +1 more source
SINGLE-IMAGE DEHAZING ON AERIAL IMAGERY USING CONVOLUTIONAL NEURAL NETWORKS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019 Haze contains floating particles in the air which can result in image quality degradation and visibility reduction in airborne data. Haze removal task has several applications in image enhancement and can improve the performance of automatic image ...
M. Madadikhaljan +5 more
doaj +1 more source
Forest Fire Segmentation from Aerial Imagery Data Using an Improved Instance Segmentation Model
Remote Sensing, 2022 In recent years, forest-fire monitoring methods represented by deep learning have been developed rapidly. The use of drone technology and optimization of existing models to improve forest-fire recognition accuracy and segmentation quality are of great ...
Zhihao Guan +5 more
semanticscholar +1 more source
Coconut trees detection and segmentation in aerial imagery using mask region-based convolution neural network [PDF]
IET Computer Vision, 2021 Food resources face severe damages under extraordinary situations of catastrophes such as earthquakes, cyclones, and tsunamis. Under such scenarios, speedy assessment of food resources from agricultural land is critical as it supports aid activity in the
M. Iqbal +3 more
semanticscholar +1 more source
APPLICATION OF MACHINE LEARNING FOR OBJECT DETECTION IN OBLIQUE AERIAL IMAGES [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 At the time of continuous development of all technologies, deep machine learning (more precisely, convolutional neural networks), which is one of the branches of artificial intelligence (AI), has found wide application in many fields, including ...
P. Zachar, Z. Kurczyński, W. Ostrowski
doaj +1 more source
Target Detection Method of UAV Aerial Imagery Based on Improved YOLOv5
Remote Sensing, 2022 Due to the advantages of small size, lightweight, and simple operation, the unmanned aerial vehicle (UAV) has been widely used, and it is also becoming increasingly convenient to capture high-resolution aerial images in a variety of environments ...
Xudong Luo, Yiquan Wu, Feiyue Wang
semanticscholar +1 more source
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 Real-time semantic segmentation of aerial imagery is essential for unmanned ariel vehicle applications, including military surveillance, land characterization, and disaster damage assessments.
Farshad Safavi, Maryam Rahnemoonfar
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Silva Fennica, 2020 In remote sensing-based forest inventories 3D point cloud data, such as acquired from airborne laser scanning, are well suited for estimating the volume of growing stock and stand height, but tree species recognition often requires additional optical ...
Tuominen, Sakari +2 more
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A Method for Detecting Feature-Sparse Regions and Matching Enhancement
Remote Sensing, 2022 Image matching is a key research issue in the intelligent processing of remote sensing images. Due to the large phase differences or apparent differences in ground features between unmanned aerial vehicle imagery and satellite imagery, as well as the ...
Longhao Wang +5 more
doaj +1 more source