Image registration is a key operation to spatially align two or more images for comparing the difference between them or exploiting complementary information from those images. The main objective regarding automatic registration of satellite images is to obtain an accurate set of tie points and then apply the transformation function which is most suitable to the pair of images to be registered....

The lack of reliable poverty data in developing countries poses a major challenge for making informed policy decisions and allocating resources effectively in those areas of the world. Unfortunately, it can be prohibitively expensive to frequently conduct comprehensive surveys that track measures of economic progress. A cheap and scalable method of producing poverty maps would greatly facilitat...

The orthorectification of satellite images is a foundational process in satellite applications. With the improvement of the satellite imaging technology and the orthorectification calculation models, the collection of Ground Control Point (GCP) is becoming the key factor restricting the efficiency and precision of orthorectification. At the same time, the services based on web in the geographic...

Super-resolution (SR) image reconstruction is a technique used to recover a high-resolution image using the cumulative information provided by several low-resolution images. With the help of SR techniques, satellite remotely sensed images can be combined to achieve a higher-resolution image, which is especially useful for a two- or three-line camera satellite, e.g., the ZY-3 high-resolution Thr...

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...

With the advancement of remote sensing sensor technologies, images of the earth’s surface have been collected at different spatial resolutions, in different spectral wavelengths (panchromatic, multispectral, hyperspectral), and with mono or stereoscopic views. The advancement of the technologies for geospatial information acquisition and extraction has allowed the generation of digital elevatio...

1.1 Context With the development of new satellite systems and the accessibility of data from public through web services like Google Earth, remote sensing imagery, knows today an important growing which advanced and still advances researches in this area on different aspects. Especially in cartography, many studies have been conducted for multi-source satellite images classification. These stud...

A method for detecting buildings from satellite/aerial images is proposed in this paper. The aim is to extract rectilinear buildings by using hypothesis. Hypothesis generation is accomplished by using edge detection and line generation methods. Hypothesis verification is carried out by using information obtained both from the color segmentation of HSV representation of the image. Satellite imag...

Reducing noise from the medical images, a satellite image etc. is a challenge for the researchers in digital image processing. Several approaches are there for noise reduction. Generally speckle noise is commonly found in synthetic aperture radar images, satellite images and medical images. This paper proposes filtering techniques for the removal of speckle noise from the digital images. Quanti...