Lecture Notes in Computer Science
DOI: 10.1007/978-3-540-76856-2_49
|View full text |Cite
|
Sign up to set email alerts
|

Classification of High Resolution Satellite Images Using Texture from the Panchromatic Band

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
6
0

Publication Types

Select...
3
3
1

Relationship

0
7

Authors

Journals

citations
Cited by 8 publications
(6 citation statements)
references
References 4 publications
0
6
0
Order By: Relevance
“…We then segment the panchromatic Very High Spatial Resolution (VHSR) Corona image with the mean-shift algorithm with the aim to identify settlement structures, hence textural analysis is applied as in related studies (e.g. [31]). The segmentation was carried out on the OTB software plugin through QGIS.…”
Section: Resultsmentioning
confidence: 99%
“…We then segment the panchromatic Very High Spatial Resolution (VHSR) Corona image with the mean-shift algorithm with the aim to identify settlement structures, hence textural analysis is applied as in related studies (e.g. [31]). The segmentation was carried out on the OTB software plugin through QGIS.…”
Section: Resultsmentioning
confidence: 99%
“…The Haralick texture analysis was then applied as in similar studies (e.g., [ 39 ]). The features of energy, entropy, correlation, Inverse Difference Moment (IDM), inertia, cluster shade, cluster prominence, and Haralick correlation were extracted.…”
Section: Methodsmentioning
confidence: 99%
“…It therefore becomes apparent that, for remotely sensed images of this era and specifications, textural information may have practical image post-processing applications. Texture has been shown to be useful in analyzing several VHSR data; for instance, Alonso et al [ 39 ] presented a case study in Spain based on VHSR Ikonos satellite data, where inclusion of textural information from the panchromatic band improved the classification accuracy by 3.4%. However, and despite the fact that the combination of VHSR and panchromatic nature of Corona underpins the extraction of texture as a consequent product, this is a field that has been largely unexplored.…”
Section: Introductionmentioning
confidence: 99%
“…Previous research works have used the following radiance threshold, radiative transfer model or statistical techniques, and in some cases, the spectral and the textural features in the images for identifying clouds from satellite images (Alonso, Sanz, & Malpica, 2007;Bandyopadhyay, Maulik, & Mukhopadhyay, 2007;). A previous research suggests that the usage of remote-sensing dataset for cloud satellite image classification triggers a reliability issue during validation of the collected samples, if the sample size is very less (Su &Du, 2014).…”
Section: Literature Surveymentioning
confidence: 99%