Journal cover Journal topic
Ocean Science An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

IF value: 2.864
IF2.864
IF 5-year value: 3.337
IF 5-year
3.337
CiteScore value: 4.5
CiteScore
4.5
SNIP value: 1.259
SNIP1.259
IPP value: 3.07
IPP3.07
SJR value: 1.326
SJR1.326
Scimago H <br class='widget-line-break'>index value: 52
Scimago H
index
52
h5-index value: 30
h5-index30
Preprints
https://doi.org/10.5194/os-2019-13
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/os-2019-13
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

  12 Jul 2019

12 Jul 2019

Review status
This preprint has been withdrawn by the authors.

Improved Spectral Angle Mapper applications for mangrove classification using SPOT5 imagery

Xiu Su, Xiang Wang, Jianhua Zhao, Ke Cao, Jianchao Fan, and Zhengxian Yang Xiu Su et al.
  • National Marine Environmental Monitoring Center, Dalian 116023, China

Abstract. The traditional Spectral Angle Mapper (SAM) is an image classification method that uses image endmember spectra. Image spatial structure information may be neglected, especially in mangrove classification research where there is greater spectral similarity between species. This study combined object-oriented classification to improve the accuracy of the method in mangrove ecosystems. A mangrove area in Guangxi's coastal zone was chosen as the study site, and spectral feature analysis and ground investigations were carried out, combining pixel purification, training sample set optimization, and watershed image segmentation algorithm to improve the SAM. The improved SAM was used to classify SPOT5 remote sensing image data for a mangrove ecosystem and then classification accuracy was assessed. The results showed that the improved SAM had better classification accuracy for SPOT5 imagery. Accuracy for each mangrove species was greater than 80 % and overall accuracy was greater than 90 %, which showed that SAM was applicable for mangrove remote sensing. This application potential for classification and information extraction lays the foundation for commercialized remote sensing monitoring of mangrove ecosystems.

This preprint has been withdrawn.

Xiu Su et al.

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Xiu Su et al.

Viewed

Total article views: 459 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
278 128 53 459 48 59 51
  • HTML: 278
  • PDF: 128
  • XML: 53
  • Total: 459
  • Supplement: 48
  • BibTeX: 59
  • EndNote: 51
Views and downloads (calculated since 12 Jul 2019)
Cumulative views and downloads (calculated since 12 Jul 2019)

Viewed (geographical distribution)

Total article views: 284 (including HTML, PDF, and XML) Thereof 282 with geography defined and 2 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved

No saved metrics found.

Discussed

No discussed metrics found.
Latest update: 27 Oct 2020
Publications Copernicus
Download
Withdrawal notice

This preprint has been withdrawn.

Citation