Volume 34 (2024)
Volume 33 (2023)
Volume 32 (2022)
Volume 31 (2021)
Volume 30 (2020)
Volume 29 (2020)
Volume 28 (2019)
Volume 27 (2018)
Volume 26 (2017)
Volume 25 (2016)
Volume 24 (2015)
Volume 23 (2014)
Volume 22 (2013)
Volume 21 (2012)
Volume 20 (2011)
Volume 19 (2010)
Volume 18 (2009)
Volume 17 (2008)
Volume 16 (2007)
Time Series Analysis of Hashtgerd Subsidence Using Radar Interferometry and Global Positioning System

P. Haghighatmehr; M. J. Valadanzouj; R. Tajik; S. Jabari; M. R. Sahebi; R. Eslami; M. Ganjiyan; M. Dehghani

Volume 22, Issue 85 , December 2013, , Pages 105-114

https://doi.org/10.22071/gsj.2012.54026

Abstract
  A large area in Hashtgerd plain, in southwest of Tehran, is subject to the land subsidence induced by overexploitation of groundwater. In this paper, in order to study the subsidence SAR interferometry (InSAR) and global positioning system (GPS) are used. The small baseline subset (SBAS) algorithm is ...  Read More

Reducing Atmospheric Water Vapor Effects on the Interferogrametric SAR Products using MERIS-FR and GPS (Case Study: Mashhad subsidence)

S. Adham Khiabani; M. R. Mobasheri; M. J. Valadanzoej; M. Dehghani

Volume 21, Issue 83 , December 2012, , Pages 123-128

https://doi.org/10.22071/gsj.2012.54534

Abstract
  SAR interferometry has shown its abilities in measuring the surface deformation in various applications. Atmospheric signals as an important factor affecting the interferometric measurements have temporally uncorrelated and complicated behavior. In this paper, a model based on the error source is presented ...  Read More

Fast Noise Estimation in Hyperspectral Images Using Spectral Absorption Parameters

Y. Rezaei; M. R. Mobasheri; M. J. Valadanzouje

Volume 21, Issue 82 , December 2011, , Pages 243-248

https://doi.org/10.22071/gsj.2011.54510

Abstract
  Estimation of noise present in Hyperspectral images is a way to enhance the quality of the extracted information and to reduce the uncertainties in the results. The simplest method widely used in noise estimation is Shift Difference. This method has two weaknesses; first, it is based upon the assumption ...  Read More