Soil Salinity has been a large problem in arid and semi arid regions. Preparation of such maps is useful for Natural resource managers. Old methods of preparing such maps require a lot of time and cost. Multi-spectral remotely sensed dates due to the broad vision and repeating of these imageries is suitable for provide saline soil maps. This investigation is conducted to provide saline soil map...

estimation of vegetation cover attributes, such as the leaf area index (lai), is an important step in identifying the amount of water use for some plants. the goal of this study is to investigate the feasibility of using irs liss-iii data to retrieve lai. to get a lai retrieval model based on reflectance and vegetation index, detailed field data were collected in the study area of eastern iran....

Blind pansharpening addresses the problem of generating a high spatial-resolution multi-spectral (HRMS) image given low (LRMS) with guidance its associated spatially misaligned panchromatic (PAN) without parametric side information. In this paper, we propose fast approach to blind and achieve state-of-the-art reconstruction quality. Typical algorithms are often computationally intensive since b...

This report summarizes an experiment performed to evaluate the accuracy of the new multi-spectral acquisition system based on a priori spectral analysis followed by wide-band capture combining trichromatic camera and absorption filters. This report will be focused on the multi-spectral capture and spectral estimation based on a new set of complex image representing a painting and a series of pr...

in this paper, an interference management for multi-beam satellite network to enhance spectral efficiency is studied. first, a two-satellite for future generation satellite network using cognitive radio technology is provided.this network is composed of a secondary satellite and aprimary satellite where the primary satellite system does not suffer from severe destructive interferences coming fr...

Satellite scene classification is challenging because of the high variability inherent in satellite data. Although rapid progress in remote sensing techniques has been witnessed in recent years, the resolution of the available satellite images remains limited compared with the general images acquired using a common camera. On the other hand, a satellite image usually has a greater number of spe...

In this paper we introduce a fully end-to-end approach for multi-spectral image registration and fusion. Our method for fusion combines images from different spectral channels into a single fused image by different approaches for low and high frequency signals. A prerequisite of fusion is a stage of geometric alignment between the spectral bands, commonly referred to as registration. Unfortunat...