Time Variant Change Analysis in Satellite Images

Time Variant Change Analysis in Satellite Images

This paper describes the time variant changes in satellite images using Self Organizing Feature Map (SOFM) technique associated with Artificial Neural Network. In this paper, we take a satellite image and find the time variant changes using above technique with the help of MATLAB. This paper reviews remotely sensed data analysis with neural networks. First, we present an overview of the main co...

Change detection from satellite images based on optimal asymmetric thresholding the difference image

As a process to detect changes in land cover by using multi-temporal satellite images, change detection is one of the practical subjects in field of remote sensing. Any progress on this issue increase the accuracy of results as well as facilitating and accelerating the analysis of multi-temporal data and reducing the cost of producing geospatial information. In this study, an unsupervised chang...

A Sparse Representation Method to Detect Saffron Agricultural Lands Using Sentinel-II Satellite Images Time

Nowadays, agricultural management via remote sensing technology has gained a special position among managers and the people who are in charge of this industry. Saffron (Red Gold) is one of specific Iran’s agricultural products with a high economic valance which is used in different fields of food and medical industries. Considering the cultivation conditions of the saffron, there has not a pers...

Time-frequency Analysis of Sar Images for Change Detection

Time-frequency analysis (TFA) has been pastly applied on SAR images in various ways: detection of points of interest based on backscattering criteria (through sub-band decomposition) [1, 2], characterization of the dominant backscattering mechanisms [3, 4] (through spectrogram analysis) or advanced interpretation [5, 6, 7] (polarimetry, moving target identification). TFA actually enables to iso...

Multi Resolution Fuzzy Segmentation of Satellite Images