Volume 15 (2023)
Volume 14 (2022)
Volume 13 (2021)
Volume 12 (2020)
Volume 11 (2019)
Volume 10 (2018)
Volume 9 (2017)
Volume 8 (2016)
Volume 7 (2015)
Volume 6 (2014)
Volume 5 (2013)
Volume 4 (2012)
Volume 3 (2011)
Volume 2 (2010)
Volume 1 (2009)
The advances, challenges and perspectives in the correction field of free Night light satellite image

Fatemeh Ahmadi; yasser Ebrahimian Ghajari; Abbas Kiani

Articles in Press, Accepted Manuscript, Available Online from 15 November 2022


  Abstract: Remote sensing provides a powerful data source for mapping urban areas and monitoring urban dynamics on various scales. Among remote sensing data, images taken at night provide an effective way to monitor human activities on a global scale. Because the features and capabilities of these images ...  Read More

A Review of Remote Sensing Methods in Identifying and Monitoring Forest Fires

Zohreh Roodsarabi; ali Sam Khaniani; Abbas Kiani

Volume 14, Issue 4 , January 2023, , Pages 19-52


  Numerous studies on the phenomenon of fire over the past several decades have provided an extensive set of input data and implementation and evaluation methods. However, this vast array of results and research is structured to provide a roadmap to new users in the field and guidance on various applications ...  Read More

Design and Implementation of an Object-Based AdaBoost Algorithm Based on Active Learning for Land-Cover Classification in High-Resolution Images

Mina Hamidi; Hamid Ebadi; abbas kiani

Volume 14, Issue 2 , July 2022, , Pages 19-36


  By improvement of the spatial resolution of remote sensing images, more accurate information are provided from the image scene such as texture structures. However, extraction of land cover information from these datas has become a challenging process due to the high spectral diversity and the heterogeneity ...  Read More

Target detection from high-resolution remote sensing images using deep learning methods

nima farhadi; Abas Kiani; Hamid Ebadi

Volume 11, Issue 1 , May 2019, , Pages 48-64


  Object detection is one of the fundamental issues in image interpretation process, especially from remote-sensing imagery. One of the most effective and efficient methods in this field is the use of deep learning algorithm for feature extraction and interpretation. An object is a collection of unique ...  Read More

Object based interpretation of high spatial remote sensing images based on knowledge-based systems

Abbas Kiani; Hamid Ebadi; Hekmat allah Khanlou

Volume 10, Issue 4 , February 2019, , Pages 27-54

  Land cover classification in remote sensing imagery is one of the most widely used spatial information extraction methods, which can facilitate generating object imagery classes of the ground surface in order to automate and accelerate meeting the basic needs of management, organization, and exploitation ...  Read More