Generating land-cover maps from remotely sensed data: Manual vectorization versus object-oriented automation

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43410%2F15%3A43906208" target="_blank" >RIV/62156489:43410/15:43906208 - isvavai.cz</a>

Result on the web

—

DOI - Digital Object Identifier

—

Result language

angličtina

Original language name

Generating land-cover maps from remotely sensed data: Manual vectorization versus object-oriented automation

Original language description

Manual vectorization of multispectral images is a widely used method for making land-use or land-cover maps. Although it is usually considered relatively accurate it is very time consuming, which has prompted the use in recent years of various semiautomatic methods for classifying remotely sensed images. One of the most promising of the latter is object-oriented image analysis based upon image segmentation, but the accuracy of its results, as well as its time demands, are disputed. Accordingly, this paper compared manual vectorization with object-oriented classification to reveal the strong and weak points of each. Two qualitatively different datasets were classified using both methods; time costs were monitored and accuracy levels were compared. It was found that manual vectorization achieved better overall accuracy (up to 93% versus 84%), but the semiautomatic method was usually more accurate when classifying some specific features such as roads, built-up areas, broadleaf trees and c

Czech name

—

Czech description

—

Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

GK - Forestry

OECD FORD branch

—

Project

<a href="/en/project/ED3.1.00%2F10.0220" target="_blank" >ED3.1.00/10.0220: MENDELU Technology Transfer Office</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year

2015

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Applied GIS

ISSN

1832-5505

e-ISSN

—

Volume of the periodical

11

Issue of the periodical within the volume

1

Country of publishing house

AU - AUSTRALIA

Number of pages

30

Pages from-to

1-30

UT code for WoS article

—

EID of the result in the Scopus database

—