Research Article
Image Color Extraction of Forest
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 64 - Issue 9 |
| Published: February 2013 |
| Authors: Dyah Pratiwi, Lussiana E T P, Sarifuddin Madenda |
10.5120/10661-5430
|
Dyah Pratiwi, Lussiana E T P, Sarifuddin Madenda . Image Color Extraction of Forest. International Journal of Computer Applications. 64, 9 (February 2013), 13-16. DOI=10.5120/10661-5430
@article{ 10.5120/10661-5430,
author = { Dyah Pratiwi,Lussiana E T P,Sarifuddin Madenda },
title = { Image Color Extraction of Forest },
journal = { International Journal of Computer Applications },
year = { 2013 },
volume = { 64 },
number = { 9 },
pages = { 13-16 },
doi = { 10.5120/10661-5430 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2013
%A Dyah Pratiwi
%A Lussiana E T P
%A Sarifuddin Madenda
%T Image Color Extraction of Forest%T
%J International Journal of Computer Applications
%V 64
%N 9
%P 13-16
%R 10.5120/10661-5430
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Indonesia has vast tropical forests and rich biodiversity. The occurrence of change rate in forest area generally is caused by extreme weather changes, destruction of the ozone layer, floods and landslides that can damage system imbalance of environment. The destruction of forests (deforestation) in Indonesia in the period from 2003 to 2006 reached 1. 17 million hectares per year. This research needs to perform the interpretation of satellite imagery for monitoring and calculating of change rate in forest area, in order to identify forest area and separation from other areas and need to know the calculating of forest area and monitoring of its changes at any time in accordance with forest shooting by satellite. The purpose of this study is to develop an image analysis system is used for monitoring and calculating of change rate in forest area which is obtained from satellite imagery. The focus of this study, is to determine type of color space which is the most suitable for used and can represent exact color of the forest in a satellite image.
References
- Wang, Zuyuan. , Ruedi, Boesch, 2007. " Color and Texture Based Image Segmentation for Improved Forest Delneation". IEEE Transaction on Geoscience and Remote Sensing, Vol. 45 no. 10, October 2007
- Sanz, Roger Trias. , Georges Stamon, Jean Lochet. 2008. " Using Colour, Texture and Hierarchical Segmentation for High Resolution Remote Sensing". ISPRS Journal of Photogrammetry and Remote Sensing 62 (2008) 156-168.
- Jolly, M. P. Dubuisson, A. Gupta. 2000, "Color and Texture Fusion: Application to Aerial Image Segmentation and GIS Updating", Image and Vision Computing 18 (2000), 823-832.
- Webster Online Dictionary, 2004, "Segment", www. merriamwebster. com
- Gonzalez, R. C. , 2008, "Digital Image Processing (3rd Edition)", Nj. Pearson Education Inc. Prentice Hall.
- Lussiana E. T. P. 2007, " Adaptive Edge Detction Method Based on Image Region Characteristics", Doctoral Dissertation Programme Gunadarma University.
- Anonimus, 2007, view as html www. irwantoshut. net/pict-rain-forest. jpg)
- Wang, 2001, " Integrated Region-Based Image Retrieval", Boston, Kluwer Academic Pulisher.
Index Terms
Keywords