Essays about: "object-based learning"

Showing result 1 - 5 of 8 essays containing the words object-based learning.

1. 1. Deep Learning for Building Damage Assessment of the 2023 Turkey Earthquakes : A comparison of two remote sensing methods

   University essay from KTH/Geoinformatik

   Author : Tobias Karlbrg; Jennifer Malmgren; [2023]
   Keywords : Deep learning; U-Net; Earthquake-induced building damage; VHR satellite imagery; Djup maskininlärning; U-Net; Byggnadsskador; Jordbävning; Satellitbilder;

   Abstract : Current disaster response strategies are based on damage assessments carried out on the ground, which can be dangerous following a ä destructive event. Damage assessments can also be performed remotely using satellite imagery, but are usually carried out through visual interpretation, which can take a lot of time. READ MORE

3. 2. A Deep-Learning-Based Approach for Stiffness Estimation of Deformable Objects

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Nan Yang; [2022]
   Keywords : Robotic grasping; Deformable objects; Deformation modeling; Stiffness estimation; Deep learning; Robotgrepp; Deformerbara föremål; Deformationsmodellering; Styvhetsuppskattning; Djup lärning;

   Abstract : Object deformation is an essential factor for the robot to manipulate the object, as the deformation impacts the grasping of the deformable object either positively or negatively. One of the most challenging problems with deformable objects is estimating the stiffness parameters such as Young’s modulus and Poisson’s ratio. READ MORE

4. 3. Object Based Image Retrieval Using Feature Maps of a YOLOv5 Network

   University essay from KTH/Matematisk statistik

   Author : Hugo Essinger; Alexander Kivelä; [2022]
   Keywords : Content based image retrieval; CBIR; Object based image retrieval; OBIR; image retrieval; YOLO; YOLOv5; object detection; PyTorch; deep learning; convolutional neural network; CNN; Content based image retrieval; CBIR; Object based image retrieval; OBIR; image retrieval; YOLO; YOLOv5; object detection; PyTorch; deep learning; convolutional neural network; CNN;

   Abstract : As Machine Learning (ML) methods have gained traction in recent years, someproblems regarding the construction of such methods have arisen. One such problem isthe collection and labeling of data sets. Specifically when it comes to many applicationsof Computer Vision (CV), one needs a set of images, labeled as either being of someclass or not. READ MORE

5. 4. Carta ex Machina: Testing object-based machine learning and unsupervised classification in land use change detection mapping in the semi-arid governorate of Sidi Bouzid, Tunisia

   University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

   Author : Kristian Emil Havnsgaard Paludan; [2021]
   Keywords : Change detection; Land use mapping; LANDSAT MSS; LANDSAT TM; GEOBIA; Random Forest classification; ISODATA cluster classification; Object-based classification; Semi-arid agriculture; Irrigation mapping; Earth and Environmental Sciences;

   Abstract : Sidi Bouzid, Tunisia is an inland governorate in Tunisia that has undergone a rapid agricultural and urban development since the Tunisian independence in 1952 from being a rural and largely nomadic region into a hub of irrigated agriculture. In 2010 Mohamed Bouazizi sparked the Tunisian revolution by lighting himself on fire int he city of Sidi Bouzid, with some blaming the inequality and water scarcity created by this rapid expansion in the irrigation farming as an important cause (Bayat, 2017; Malka, 2018). READ MORE

6. 5. Clutter Detection in Radar Applications

   University essay from Linköpings universitet/Institutionen för datavetenskap

   Author : Pedram Kasebzadeh; [2020]
   Keywords : ;

   Abstract : Radars have been used for detection purposes in safety applications (i.e., blind spot detection radar in cars) extensively. The existing detection methods, however, are not flawless. READ MORE