Sökning: "aerial images"

Visar resultat 1 - 5 av 126 uppsatser innehållade orden aerial images.

1. 1. Object Recognition in Satellite imagesusing improved ConvolutionalRecurrent Neural Network

   Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Författare :TARUN NATTALA; [2023]
   Nyckelord :CRNN; CNN; RNN; Machine Learning and Satellite Image Recognition.;

   Sammanfattning : Background:The background of this research lies in detecting the images from satellites. The recognition of images from satellites has become increasingly importantdue to the vast amount of data that can be obtained from satellites. This thesisaims to develop a method for the recognition of images from satellites using machinelearning techniques. LÄS MER

3. 2. Autonomous Navigation in Partially-Known Environment using Nano Drones with AI-based Obstacle Avoidance : A Vision-based Reactive Planning Approach for Autonomous Navigation of Nano Drones

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Mattia Sartori; [2023]
   Nyckelord :Nano Drones; Obstacle Avoidance; Autonomous Exploration; Autonomous Surveillance; Resource-Constrained Drones; Safe Navigation; Reactive Planning; Vision-based Navigation; Nanodrönare; Undvikande av Hinder; Autonom Utforskning; Autonom Övervakning; Resursbegränsade Drönare; Säker Navigering; Reaktiv Planering; Visionsbaserad Navigering;

   Sammanfattning : The adoption of small-size Unmanned Aerial Vehicles (UAVs) in the commercial and professional sectors is rapidly growing. The miniaturisation of sensors and processors, the advancements in connected edge intelligence and the exponential interest in Artificial Intelligence (AI) are boosting the affirmation of autonomous nano-size drones in the Internet of Things (IoT) ecosystem. LÄS MER

4. 3. Reliable Detection of Water Areas in Multispectral Drone Imagery : A faster region-based CNN model for accurately identifying the location of small-scale standing water bodies

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Shengyao Shangguan; [2023]
   Nyckelord :Water Detection; Faster region-based convolutional neural networks; Multiple images; Convolutional neural networks; Random Forest; Vattendetektering; Snabbare regionbaserade konvolutionella neurala nätverk; Flera bilder; Konvolutionella neurala nätverk; Random Forest;

   Sammanfattning : Dengue and Zika are two arboviral viruses that affect a significant portion of the world population. The principal vector species of both viruses are Aedes aegypti and Aedes albopictus mosquitoes. They breed in very slow flowing or standing pools of water. LÄS MER

5. 4. Real Time Vehicle Detection for Intelligent Transportation Systems

   Magister-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknik

   Författare :Elda Shurdhaj; Ulehla Christián; [2023]
   Nyckelord :Unmanned aerial vehicles UAVs ; vehicle detection; CNN architecture; snow cover; NVD; Yolov5s; Yolov8s; Faster R-CNN; real-time processing; edge devices;

   Sammanfattning : This thesis aims to analyze how object detectors perform under winter weather conditions, specifically in areas with varying degrees of snow cover. The investigation will evaluate the effectiveness of commonly used object detection methods in identifying vehicles in snowy environments, including YOLO v8, Yolo v5, and Faster R-CNN. LÄS MER

7. 5. Urban tree canopy mapping -an open source deep learning approach

   Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

   Författare :Tobias Rydlinge; [2023]
   Nyckelord :Geography; GIS; AI; deep learning; urban trees; remote sensing; Earth and Environmental Sciences;

   Sammanfattning : Urban trees have an important role to provide ecosystem services and to make our cities greener and more sustainable. The changing climate and densification of cities make it even more valuable to preserve and investigate in urban trees. LÄS MER