hyperspectral sensors provide a large number of spectral bands. this massive and complex data structure of hyperspectral images presents a challenge to traditional data processing techniques. therefore, reducing the dimensionality of hyperspectral images without losing important information is a very important issue for the remote sensing community. we propose to use overlap-based feature weigh...

the purpose of this study was to determine the plant density of sugar beet fields in qazvin region using satellite images and remote sensing techniques. the plant density can be used to estimate the pre-harvest sugar beet yield and as a result the proper management of agricultural and industrial processes involved in sugar production. satellite data can be used to remove the cost and time of co...

This paper gives a brief survey of remote sensing techniques from a viewpoint of pattern recongition and media understanding (PRMU). First we give a brief summary of remote sensing, and then introduce related work on both remote sensing image processing and some unique issues in remote sensing image processing. We moreover point out that the future direction of remote sensing is expected to be ...

Troposphere delays are one of the major error sources of space geodetic and remote sensing techniques. Unlike ionospheric delays, which have a dispersive characteristics and thus can be canceled out by dual-frequency measurements, atmospheric propagation effects have to be modeled within the post-processing or model adjustment stage. Many space-geodetic techniques apply so-called mapping functi...

abstract a great part of iran’s area, especially yazd province is formed as deserted areas. kavir siahkooh is one of the most important desert areas of province. the researches show that the arid areas have an ideal condition for remote sensing and it can consider and show the plant coverage of the area .the aim of this study is to evaluate kavir siahkooh plant coverage and it’s comprise with t...

Hyperspectral sensors provide a large number of spectral bands. This massive and complex data structure of hyperspectral images presents a challenge to traditional data processing techniques. Therefore, reducing the dimensionality of hyperspectral images without losing important information is a very important issue for the remote sensing community. We propose to use overlap-based feature weigh...

sensors onboard meteorological satellites such as modis and avhrr are able to collect information adequate in frequency but with low spatial resolution. the problem can be overcome, if one finds a way to increase the quality of the vegetation indices through searching in each individual pixel of the images, employing concurrent higher spatial resolution images. the objective of this study was t...

a knowledge of soil surface conditions, especially desert crust, salt crust and desert varnish is useful for improving classification of remotely sensed data. desert crust can generate high levels of reflectance, similar to those areas with high salt concentration and non-saline soil. therefore, soil surface crusts might bias thematic remote sensing of soils. in this study, we evaluated the eff...