A novel watermarking algorithm is proposed for copyrighting of satellite images based on a table look-up method in pixel domain which does not distort certain specific regions in the original image. A visually meaningful watermark is embedded invisibly and irreversibly in the host image, preserving the vital areas. This watermark is embedded in such a way that it can be easily extracted on the ...

Knowledge discovery from satellite images in spatio-temporal context remains one of the major challenges in the remote sensing field. It is, always, difficult for a user to manually extract useful information especially when processing a large collection of satellite images. Thus, we need to use automatic knowledge discovery in order to develop intelligent image interpretation systems. In this ...

Image registration is one of the basic image processing operations in remote sensing. With the increase in the number of images collected every day from different sensors, automated registration of multi-sensor/multi-spectral images has become an important issue. A wide range of registration techniques has been developed for many different types of applications and data. Given the diversity of ...

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...

Remote sensing has changed modern oceanography by proving synoptic periodic data which can be processed. Since the satellite data are usually too much and nonlinear, in most cases, it is difficult to distinguish the patterns from these images. In fact, SOM (Self-Organizing Maps) model is a type of ANN (Artificial Neural Network) that has the ability to distinguish the efficient patterns from th...

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...

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...