Accurate ortho-mosaicked six-band multispectral UAV images as affected by mission planning for precision agriculture proposes
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Remote Sensing"
DOI: 10.1080/01431161.2016.1249311
Abstract: ABSTRACT Weed mapping at very early phenological stages of crop and weed plants for site-specific weed management can be achieved by using ultra-high spatial and high spectral resolution imagery provided by multispectral sensors on-board an… read more here.
Keywords: ortho mosaicked; accurate ortho; uav images; mission planning ... See more keywords
Identification of Mangrove Invasive Plant Derris Trifoliate Using UAV Images and Deep Learning Algorithms
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.2022.3223227
Abstract: Derris trifoliate, one of the most notorious invaders of mangroves in South China, seriously threatens the growth of mangroves and the stability of local ecosystem. In order to effectively control the spread of Derris trifoliate… read more here.
Keywords: derris trifoliate; uav images; invasive plant; deep learning ... See more keywords
Real-Time Damaged Building Region Detection Based on Improved YOLOv5s and Embedded System From UAV Images
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2023.3268312
Abstract: Detecting the damaged building regions is vital to humanitarian assistance and disaster recovery after a disaster. Deep-learning techniques based on aerial and unmanned aerial vehicle (UAV) images have been extensively applied to the literature to… read more here.
Keywords: system; damaged building; region detection; uav images ... See more keywords
Learning Geometric Features for Improving the Automatic Detection of Citrus Plantation Rows in UAV Images
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2020.3024641
Abstract: Unmanned aerial vehicles (UAVs) allow on-demand imaging of orchards at an unprecedented level of detail. The automated detection of plantation rows in the images helps in the successive analysis steps, such as the detection of… read more here.
Keywords: learning geometric; plantation rows; uav images; geometric features ... See more keywords
Find Small Objects in UAV Images by Feature Mining and Attention
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3220661
Abstract: With the increasing popularity of unmanned aerial vehicles (UAVs), the accuracy of detecting small objects in large-view images is also expected to increase. However, accurate small object detection is still a challenging problem. Currently, image… read more here.
Keywords: objects uav; images feature; uav images; find small ... See more keywords
Deep neural networks based automated extraction of dugong feeding trails from UAV images in the intertidal seagrass beds
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DOI: 10.1371/journal.pone.0255586
Abstract: Dugongs (Dugong dugon) are seagrass specialists distributed in shallow coastal waters in tropical and subtropical seas. The area and distribution of the dugongs’ feeding trails, which are unvegetated winding tracks left after feeding, have been… read more here.
Keywords: deep neural; neural networks; feeding trails; uav images ... See more keywords
Early Weed Detection Using Image Processing and Machine Learning Techniques in an Australian Chilli Farm
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DOI: 10.3390/agriculture11050387
Abstract: This paper explores the potential of machine learning algorithms for weed and crop classification from UAV images. The identification of weeds in crops is a challenging task that has been addressed through orthomosaicing of images,… read more here.
Keywords: uav images; machine; weed detection; machine learning ... See more keywords
Cotton Blight Identification with Ground Framed Canopy Photo-Assisted Multispectral UAV Images
Sign Up to like & getrecommendations! Published in 2023 at "Agronomy"
DOI: 10.3390/agronomy13051222
Abstract: Cotton plays an essential role in global human life and economic development. However, diseases such as leaf blight pose a serious threat to cotton production. This study aims to advance the existing approach by identifying… read more here.
Keywords: blight infection; cotton; uav images; cotton blight ... See more keywords