nowadays, remote sensing comes under the title of management method for precision farming. for provision of the land cover and therefore land use map use must be made of satellite images. for an assessment of the type of agricultural crops it is required to have satellite images of high resolution. from specifications of the satellite images one is to produce maps with varied scales. in this re...

Remote sensing satellite data are vast, various, time sensitive and with wide users. How to delivery satellite data and products to users effectively is an important problem facing satellite department. Blueprint has been widely applied in improving service process. It’s a useful method to optimize allocation of resources and improve service quality. This article analyzes the service process of...

land cover mapping is important for many planning and management activities. today, satellite images and remote sensing techniques are extensively used in all sectors including agriculture and natural resources because they provide updated data and high analyzing abilities. in this study, in order to produce land cover map for the northern part of hamedan province , digital satellite data irsp6...

A feature of satellite images is the presence of noise, where this noise often requires preprocessing of the images by a denoising method adapted prior to their compression, storage and transmission. In this work to improve the compression scheme, we are interested in image compression by discarding noisy bits from the satellite image and discrete wavelet transform (DWT). This method was tested...

introduction: satellite cells are known as the main regenerative cell type in skeletal muscles. our study established a modified digestion and preplating method for the isolation of slow or weak adherent cells for the enrichment of satellite cells. low-survival rate of these primary stem cells prompted us to address whether cell culture medium substitution might change cell viability status. me...

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...