2021
DOI: 10.1051/e3sconf/202122701001
|View full text |Cite
|
Sign up to set email alerts
|

Object-based approach for urban land cover mapping using high spatial resolution data

Abstract: This paper deals with object-oriented image analysis applied for an urban area. Very high-resolution images in conjunction with object-oriented image analysis have been used for land cover detection. Using the eCognition software with object-oriented methods, not only the spectral information but also the shape, compactness and other parameters can be used to extract meaningful objects. The spectral and geometric diversity of urban surfaces is a very complex research issue. It is the main reason why additional… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
8
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
9

Relationship

3
6

Authors

Journals

citations
Cited by 16 publications
(8 citation statements)
references
References 10 publications
0
8
0
Order By: Relevance
“…Based on the results of the study, it was possible to determine the optimal areas for installing solar panels in any part of the country with increased efficiency using an automated geographic information system. At the same time, the amount of field research was reduced by 50% [6,14].…”
Section: Fig 2 Surface Temperature Map Of Samarkand Provincementioning
confidence: 99%
“…Based on the results of the study, it was possible to determine the optimal areas for installing solar panels in any part of the country with increased efficiency using an automated geographic information system. At the same time, the amount of field research was reduced by 50% [6,14].…”
Section: Fig 2 Surface Temperature Map Of Samarkand Provincementioning
confidence: 99%
“…In recent years, the number of remote sensing satellites has surged dramatically, providing massive geographic imagery for almost every corner of the Earth's surface [5,6]. In extracting urban land cover information from remote sensing data, researchers often consider spatial resolution more important than spectral resolution [7,8]. This is because spatial resolution can reflect the Remote Sens.…”
Section: Introductionmentioning
confidence: 99%
“…In the last decade, the scale parameter and shape compactness have received high attention in research on the optimal selection of segmentation parameters [9,10]. The multiresolution image segmentation algorithm in eCognition has been widely used for urban mapping applications.…”
Section: Introductionmentioning
confidence: 99%