9  Abstract— In this paper, we present a hybrid fractal image compression method for satellite images. The proposed algorithm uses entropy and arithmetic coding. The satellite image is decomposed into low frequency sub-band and high frequency sub-band. The low frequency sub-band uses fractal coding, thus making the low-frequency information loss less which is sensitive to human visual system. ...

there have been different indices identified for desertification. among these is technogenic desertification index which seems much more efficient. in this study, some of technogenic desertification indices were studied and evaluated. first land use maps of the region were taken from irs-pan satellite image and aerial photos analysis. after evaluating the area of different uses, lands that had ...

this paper presents the design procedure and implementation results of a proposed hardware which performs different satellite image compressions using fpga xilinx board. first, the method is described and then vhdl code is written and synthesized by ise software of xilinx company. the results show that it is easy and useful to design, develop and implement the hardware image compressor using ne...

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...

In the fifth development plan establishment, establishment of the Cadastre System of agriculture nationwide has been defined to be the work priority of institutions and organizations responsible in the area of agriculture and equity issuance in the country. In this study, the possibility of provision of the Cadastral mapping of agriculture by a integration of the data of the remote sensing and ...

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...

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...

Discrimination between texture edges and geometrical edges is very difficult in low contrast images. Satellite images are low contrast images. It is important to extract the edges that are not clearly visible in case of Satellite images. The present work encompasses a new edge detection algorithm using newly constructed differentiator. Chebyshev polynomial based fractional order differentiator ...

With the availability of multisensor, multitemporal, multiresolution and multifrequency image data from operational Earth observation satellites the fusion of digital image data has become a valuable tool in remote sensing image evaluation. Digital image fusion is a relatively new research ® eld at the leading edge of available technology. It forms a rapidly developing area of research in remot...

Satellite images are used for feature extraction among other functions. They are used to extract linear features, like roads, etc. These linear features extractions are important operations in computer vision. Computer vision has varied applications in photogrammetric, hydrographic, cartographic and remote sensing tasks. The extraction of linear features or boundaries defining the extents of la...