Sentence examples for using an image classification from inspiring English sources

The production of thematic maps, such as those depicting land cover, using an image classification is one of the most common applications of remote sensing.

We used an image classification approach to estimate urban vegetation cover consisting of trees and shrubs only within two medium-sized cities in the United States.

In this paper, classification of human walking motion is achieved using a hierarchical image classification architecture (HICA) that operates directly on short time-frequency windows.

We then ran an image classification using the nearest neighboring algorithm.

This benchmark uses a common image classification task to track the speed of a deep-learning algorithm per dollar of compute power.

Here, we propose to reveal the spatio-temporal course of information extraction during word identification by manipulating the availability of information in space and time in a systematic manner using a classification image technique.

Using an established plant manipulation experimental site at Moor House NNR (an Environmental Change Network site), we compared visual cover estimates of peatland vegetation with cover estimates using digital image classification methods, from 0.5 m × 0.5 m field plots.

Then, images were classified at pixel level using supervised image classification with maximum likelihood classifier algorithm.

The land use map was prepared using the IRS 1C-LISS-III imagery of 2006 using Supervised image classification method in ERDAS Imagine 9.0.

Recent advances in remote sensing technology may enable the mapping of forest plant associations using image classification techniques.

Water regions are extracted from the MODIS images using image classification (based on spectral information) and image segmentation (based on spatial information).