––Satellite image compression is one of active image processing areas. In this paper we proposed a novel approach for ROI compression of multiband satellite images using modified JPEG standard. In this paper, we show how the quantization may be adapted in each block and how we may signal to the decoder in a memory-efficient manner. This allows ROI coding of satellite images. The method takes ad...

Using satellite cloud images to simulate clouds is one of the new visual simulation technologies in Virtual Reality (VR). Taking the original data of satellite cloud images as the source, this paper depicts specifically the technology of 3D satellite cloud imaging through the transforming of coordinates and projection, creating a DEM (Digital Elevation Model) of cloud imaging and 3D simulation....

In order to adequately process satellite and radar information, it is necessary to find the exact correspondence between different types of images and between these images and the existing maps. In other words, we need to reference these images. In this paper, we propose new methods for automatic referencing of satellite and radar images.

Similarity measurement is one of key operations to retrieve “desired” images from an image database. As a famous psychological similarity measure approach, the Feature Contrast (FC) model is defined as a linear combination of both common and distinct features. In this paper, an adaptive feature contrast (AdaFC) model is proposed to measure similarity between satellite images for image retrieval...

In recent years, acquiring information of remote sensing data, especially satellite data has excessively increased and several methods are presented in order to improve the quality of remote sensing studies in earth sciences. It is possible to manage many projects and provide different types of thematic maps in a short period of time, and a low cost by utilizing satellite data and GIS method. R...

Remote sensing has proven to be a powerful tool for the monitoring of the Earth’s surface to improve our perception of our surroundings has led to unprecedented developments in sensor and information technologies. However, technologies for effective use of the data and for extracting useful information from the data of Remote sensing are still very limited since no single sensor combines the op...

We describe here a method to annotate satellite images with semantic concepts. The concepts used for the annotation are defined by the user. For each concept, the user provides a set of example images which will be used for learning. The method uses a first step of image processing which computes SIFT descriptors in the image. These feature vectors are quantized using an information theoretic c...

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....