Using the MaxD Target Detection (MaxDTD) Algorithm in ENVI with AVIRIS Data

Improving the RX Anomaly Detection Algorithm for Hyperspectral Images using FFT

Anomaly Detection (AD) has recently become an important application of target detection in hyperspectral images. The Reed-Xialoi (RX) is the most widely used AD algorithm that suffers from “small sample size” problem. The best solution for this problem is to use Dimensionality Reduction (DR) techniques as a pre-processing step for RX detector. Using this method not only improves the detection p...

Hyperspectral Data Dimensionality Reduction Using Hybrid Approach

Hyperspectral data contain a large volume of information. This abundance of data is hard to exploit due to high computational cost involved in processing this data. Dimensionality reduction deals with transforming high dimensional data in to lower dimensional space without losing significance of the High dimensional data. In this paper, a new methodology has been proposed that is based on exist...

"ENVI Processing of AVIRIS Hyperspectral Data for Mineralogical Classification of El Pico de Orizaba Volcano, Mexico

Land Cover Subpixel Change Detection using Hyperspectral Images Based on Spectral Unmixing and Post-processing

  The earth is continually being influenced by some actions such as flood, tornado and human artificial activities. This process causes the changes in land cover type. Thus, for optimal management of the use of resources, it is necessary to be aware of these changes. Today’s remote sensing plays key role in geology and environmental monitoring by its high resolution, wide covering and low cost...

Salient regions detection in satellite images using the combination of MSER local features detector and saliency models

Nowadays, due to quality development of satellite images, automatic target detection on these images has been attracted many researchers' attention. Remote-sensing images follow various geospatial targets; these targets are generally man-made and have a distinctive structure from their surrounding areas. Different methods have been developed for automatic target detection.  In most of these met...