Feature Extraction for Patch-Based Classification of Multispectral Earth Observation Images

Comparison of Supervised Feature Extraction Methods for Multispectral Images

In this paper, a new feature extraction method is proposed. This procedure focuses on the particular case of the detection of small objects in images. Despite of its simplicity, it outperforms some of the most popular feature extraction methods currently used. This is achieved by taking advantage of some particular characteristics of this particular kind of applications.

Extraction and Classification of Objects in Multispectral Images

Neural Network Based Recognition System Integrating Feature Extraction and Classification for English Handwritten

Handwriting recognition has been one of the active and challenging research areas in the field of image processing and pattern recognition. It has numerous applications that includes, reading aid for blind, bank cheques and conversion of any hand written document into structural text form. Neural Network (NN) with its inherent learning ability offers promising solutions for handwritten characte...

Feature Extraction of Multispectral Data

Automatic Road Detection and Extraction From MultiSpectral Images Using a New Hierarchical Object-based Method

Road detection and Extraction is one of the most important issues in photogrammetry, remote sensing and machine vision. A great deal of research has been done in this area based on multispectral images, which are mostly relatively good results. In this paper, a novel automated and hierarchical object-based method for detecting and extracting of roads is proposed. This research is based on the M...