In this paper, we present a method for edge segmentation of satellite images based on 2-D Phase Congruency (PC) model. The proposed approach is composed by two steps: The contextual non linear smoothing algorithm (CNLS) is used to smooth the input images. Then, the 2D stretched Gabor filter (S-G filter) based on proposed angular variation is developed in order to avoid the multiple responses in...

Satellite optical images and altimetry data are two major data sources used in Antarctic research. The integration use of these two datasets is expected to provide more accurate and higher quality products, during which data registration is the first issue that needs to be solved. This paper presents an alternative approach for the registration of high-resolution satellite optical images and IC...

The fusion of high-spectral but low spatial resolution multispectral and low-spectral but high spatial resolution panchromatic satellite images is a very useful technique in various remote sensing applications. Recently, some studies showed that wavelet-based image fusion methods provide a high quality spectral content of fused images. However, the spatial resolution of waveletbased fused image...

Predicting unseen weather phenomena is an important issue for disaster management. In this paper, we suggest a model for a convolutional sequence-to-sequence autoencoder for predicting undiscovered weather situations from previous satellite images. We also propose a symmetric skip connection between encoder and decoder modules to produce more comprehensive image predictions. To examine our mode...

Satellite Images are used in many fields of research and enhancement of these images is a very important process. Satellite image enhancement is done using various transform techniques, filters and interpolation methods. This paper discusses a method of satellite image enhancement using Curvelet transform and interpolation technique. The quality of the enhanced image is measured using parameter...

This paper describes work which investigates how the Large Hadron Collider (LHC) Computing Grid (LCG) can be used to upload, store, compress and download satellite image data files on behalf of the United Nations Organization UNOSAT. Mechanisms for satellite image upload, storage and download are outlined. LCG computational resources are exercised by a JPEG2000 compression framework that transf...

In this paper, we present a method for edge segmentation of satellite images based on 2-D Phase Congruency (PC) model. The proposed approach is composed by two steps: The contextual non linear smoothing algorithm (CNLS) is used to smooth the input images. Then, the 2D stretched Gabor filter (S-G filter) based on proposed angular variation is developed in order to avoid the multiple responses in...

introduction monitoring of salt lake dry areas is an important parameter for sustainable development and environmental protection. monitoring of dried areas of the salt lake requires extraction of thematic maps at different times. powerful tool for remote sensing of the earth different ecosystems, such as playa environments, is to produce valuable and useful data. the major causes of widespread...