The paper compares different data fusion techniques in order to choose an appropriate technique for accurate urban mapping. Availability of high spatial resolution Ikonos and Quickbird imagery has made accurate mapping of urban areas more feasible. Though Ikonos multispectral images have a good spatial resolution of 4 m, it is often desirable to have an increased spatial resolution for a more a...

Abstract. Highly accurate geometric correction is necessary for high-resolution data. Then, it is important to acquire the high accuracy Ground Control Point (GCP) and corresponded Image Control Points (ICPs) for geometric correction. The objective of this study is evaluation of GCP type for high-resolution satellite image. In this study, following two types of GCP was selected: 1)Polygon in fi...

0924-2716/$ see front matter 2012 International http://dx.doi.org/10.1016/j.isprsjprs.2012.07.003 ⇑ Corresponding author. Address: 3100 Monitor A Oklahoma, Norman, OK 73072, USA. Tel.: +1 405 325 E-mail address: [email protected] (S. Sheldon) In this study, we evaluate a methodology that uses dual-polarization L-band SAR 500-m mosaic PALSAR imagery to identify and map forests in the Brazilian...

This paper presents the research results on the integration approach using a biologically inspired algorithm (LEGION) and a geometrically-inspired method (GAC) for target extraction from multiple-source remote-sensing imageries, specifically EO-1 Hyperion hyperspectral (30-meter resolution), and IKONOS multispectral (4-meter resolution) images. An automatic road-extraction algorithm based on LE...

Image fusion is an important tool in remote sensing, as many Earth observation satellites provide both high-resolution panchromatic and low-resolution multispectral images. To date, many image fusion techniques have been developed. However, the available algorithms can hardly produce a satisfactory fusion result for IKONOS and QuickBird images. Among the existing fusion algorithms, the IHS tech...

This article studies the effect of airborne lidar (surface) elevation data on the classification of multispectral IKONOS images over a coastal area. The lidar data and IKONOS images are treated as independent multiple bands to conduct the classification. To do so, the lidar elevation data is first resampled to the same ground spacing interval and stretched to the same radiometric range as the I...