The aim of this study is to evaluate the classification performances land use/land cover (LULC) methods by comparing results pixel and object-based approaches on RapidEye satellite image. Pixel-based was carried out in ERDAS Imagine 10.4 using Maximum Likelihood-supervised approach, whilst performed e-Cognition Developer 64 nearest neighbour-supervised method. A LULC map eight classes created b...

A bstract Five different data fusion techniques (multiple linear regression (MLR), high-pass filtering (HPF), intensity hue saturation (IHS), wavelet transformation (WT) and the hybrid method WT + IHS) have been applied to model aboveground forest biomass (AGB) in this study. The RapidEye multispectral image PALSAR radar were used research as sources of remote sensing data. models for estimatin...

The advent of hyperspectral remote sensing has provided new opportunities for species mapping. However, the high dimensionality of hyperspectral data limits the application of parametric classifiers for species mapping because of the demand for a large number of training samples. This situation could change with the arrival of new spaceborne multispectral sensors such as WorldView-2 and RapidEy...

This work introduces a workflow to retrieve agricultural field border lines from remote sensing images in a fully automatic manner. The methodology builds upon the joint usage of optical and SAR images and is composed of three main processing blocks: (1) Pre-processing of image data including a geometric adjustment of the optical images w.r.t. the highly accurate SAR data, (2) Field border line...

As the aerospace industry grows, images obtained from Earth observation satellites have been successfully used in various fields. Specifically, the demand for a high-resolution (HR) optical images is gradually increasing, and hence the generation of a high-quality mosaic image is being magnified as an interesting issue. In this paper, we have proposed an efficient mosaic algorithm for HR optica...