Comparison of 10 Multi - Sensor Image Fusion

COMPARISON OF 10 MULTI-SENSOR IMAGE FUSION PARADIGMS FOR IKONOS IMAGES

Uttam Kumar^{1, 2}, Anindita Dasgupta³, Chiranjit Mukhopadhyay¹, N. V. Joshi³, and T. V. Ramachandra^{2, 3, 4, *}

¹Department of Management Studies, ²Centre for Sustainable Technologies,
³Centre for Ecological Sciences, ⁴Centre for infrastructure, Sustainable Transport and Urban Planning,
Indian Institute of Science, Bangalore -560012, India

ABSTRACT

INTRODUCTION

IMAGE FUSION TECHNIQUES

DATA ANALYSIS AND RESULTS

INTRODUCTION

Images acquired from space borne Earth observation satellites such as QuickBird, IKONOS, IRS bundle 1:4 ratio of a high spatial resolution (HSR) Panchromatic (PAN) band and low spatial resolution (LSR) Multi-spectral (MS) bands in order to support both spectral and best spatial resolutions while minimising on-board data handling needs [1]. Fusion of multi-sensor data enhances object delineation and interpretation due to integration of spatial information from HSR PAN and spectral information from LSR MS images. For example, fusion of 1m IKONOS PAN image with 4 m MS images allow identification of objects approximately one meter in length on the Earth’s surface, especially useful in urban areas, because the characteristic of urban objects are determined not only by their spectra but also by their structure. This objective of this paper is to perform a comparative analysis of ten advanced pixel based image fusion techniques on IKONOS PAN and MS data.

Citation: Uttam Kumar, Anindita Dasgupta, Chiranjit Mukhopadhyay, N. V. Joshi and T. V. Ramachandra, 2011. Comparison of 10 Multi-Sensor Image Fusion Paradigms for IKONOS Images., International Journal of Research and Reviews in Computer Science (IJRRCS), Vol. 2, No. 1, March 2011, 40–47.

* Address for Correspondence:
	Dr. T.V. Ramachandra Energy & Wetlands Research Group, Centre for Ecological Sciences, Indian Institute of Science, Bangalore – 560 012, INDIA. Tel : 91-80-23600985 / 22932506 / 22933099, Fax : 91-80-23601428 / 23600085 / 23600683 [CES-TVR] E-mail : cestvr@ces.iisc.ernet.in, energy@ces.iisc.ernet.in, Web : http://wgbis.ces.iisc.ernet.in/energy