Abstract This work describes algorithms for performing discrete object detection, specifically in the case of build- ings, where usually only low quality ...
Mar 14, 2016 · Abstract:This work describes algorithms for performing discrete object detection, specifically in the case of buildings, where usually only ...
Mar 19, 2016 · This work describes algorithms for performing discrete object detection, specifically in the case of buildings, where usually only low ...
Fast building detection using new feature sets derived from a very high-resolution image, digital elevation and surface model · Building Detection from Satellite ...
May 10, 2022 · Higher accuracy in our training data translates directly to higher model performance and better, more valuable outputs.
Mar 19, 2016 · This work describes algorithms for performing discrete object detection, specifically in the case of buildings, where usually only low ...
This is accomplished by applying building segmentation methods (Dai et al., 2021), and applying the various advancements in machine vision CNN and R-CNN.
This paper presents a rapid machine learning-based damage detection framework for identifying the damage extent of concrete shear wall buildings.
Dec 5, 2023 · Comments14 · Flood mapping using Deep Learning | Image Segmentation Methodology #part1 · Landslide Detection using Deep learning Neural Network | ...
Missing: Rapid | Show results with:Rapid
May 12, 2023 · The proposed ML model can be used to detect post-earthquake damage in many other buildings without sensors, based on earthquake acceleration ...