THE DEVELOPMENT RESEARCH OF THE FISHING BOAT DISTINCTION TECHNIQUE BY SATELLITE-ONBOARD HIGH RESOLUTION OPTICAL SENSOR — DISTINCTION TECHNIQUE USING IKONOS DATA

Authors

  • T. Moriyama Remote Sensing Technology Center Japan
  • H. Tameishi Japan Fisheries Information Srvice Center
  • J. Suwa Center for Remote Sensing and Ocean Sciences, the University of Udayana
  • S. Kanno Center for Remote Sensing and Ocean Sciences, the University of Udayana
  • Y. Sugimori Center for Remote Sensing and Ocean Sciences, the University of Udayana
  • T. Osawa Center for Remote Sensing and Ocean Sciences, the University of Udayana
  • M. Koiwa Mitsubishi Space Software Co., Ltd

DOI:

https://doi.org/10.30536/j.ijreses.2004.v1.a1324

Keywords:

IKONOS image, SPOT, ALOS image, high resolution image alogarithm, nearest neighbor interpolation, cubic convolution interpolation

Abstract

This paper describes the vessel distinction algorithm by using radiance silhoutte algorithm for IKONOS data. Although original TKONOS image has high spatial resolution about 1 m, it is difficult to identify whole feature of the vessel. The newly developed algorithm named "Radiance Silhoutte Analysis Algorithm" can estimate entire length, full width and bridge location of the vessel in high accuracy. By using targeted vessels, it is evaluated the algorithm has sufficient accuracy for vessel distinction. The research also covers synthetic collation decision by using vessel type axtraction algorithm.

Downloads

Published

2025-11-26

Issue

Vol. 1 No. 1 (2004)

Section

Articles

License

Copyright (c) 2005 Author (S)

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Copyright Notice for the International Journal of Remote Sensing and Earth Sciences (IJReSES)

Copyright Holder: Author(s).

By submitting an article to IJReSES, author(s) agree to the following terms:

1. Grant of Publishing Rights: Authors grant IJReSES the license to publish the article and to identify itself as the original publisher. This includes the right to make the article available in all forms and media.

2. Commercial Rights: Authors grant IJReSES the rights to produce and sell hardcopy volumes of the journal. These volumes may be purchased by libraries, individuals, or other entities.

3. Third-Party Use: Authors agree to allow any third party to freely use the article, provided that the original authors are credited and the article is cited appropriately. This facilitates the dissemination and impact of the work.

4. Creative Commons License: The article is distributed under the Creative Commons Attribution non Commercial Share Alike 4.0 License (CC BY-NC-SA 4.0). This license allows others to distribute, remix, adapt, and build upon the work, even commercially, as long as the original author is credited for the original creation.

5. Associated Published Material: Unless otherwise stated, any associated published material (such as supplementary data, graphics, and multimedia) is distributed under the same CC BY-NC-SA 4.0 License.

By adhering to these terms, authors ensure the wide dissemination and accessibility of their work, contributing to the advancement of knowledge in the fields of remote sensing and earth sciences.