Ara
Toplam kayıt 5, listelenen: 1-5
Automatic extraction of trees by using multiple return properties of the lidar point cloud
(2021)
Airborne laser scanning has been a valuable tool for forestry applications since it began to be used commercially. Thanks to the high 3D resolution provided by the Light Detection and Ranging (LiDAR) point cloud, it has ...
AUTOMATIC EXTRACTION OF BUILDING BOUNDARIES FROM HIGH RESOLUTION IMAGES WITH ACTIVE CONTOUR SEGMENTATION
(2018)
Building extraction from remotely sensed images plays an important role in many applications such as updating geographical information system, change detection, urban planning, disaster management and 3D building modeling. ...
Integration of a CNN-based model and ensemble learning for detecting post-earthquake road cracks with deep features
(Elsevier Ltd, April 2024)
A safe and healthy infrastructure is essential for humanity. Maintenance and repair of roads, which are of great importance, especially in transportation, is essential. Roads can sometimes be damaged due to natural disasters ...
Potato leaf disease detection with a novel deep learning model based on depthwise separable convolution and transformer networks
(Elsevier Ltd, July 2024)
Early diagnosis of plant diseases is essential in reducing economic losses for farmers and increasing production efficiency. Therefore, Computer-Aided Diagnosis (CAD) systems supported by artificial intelligence technologies ...
An Automatic Approach for Bone Tumor Detection from Non-Standard CT Images
(UNIV NAC COLOMBIA, FAC INGENIERIA, DEC 2023)
Image processing techniques are applied in many fields of science. This study aims to detect tumors in the foot and create 3D models via computed tomography (CT), as well as to produce biometric data. 1 039 CT images were ...