Remote sensing can be defined as the “acquisition and measurement of data/information on some property(ies) of a phenomenon, object, or material by a recording device not in physical, intimate contact with the feature(s) under surveillance” (Short 1997). Scientists utilizing remote sensing are able to collect vast quantities of data quickly and efficiently for rapid analysis. In the last Techni...

With the rapid development of remote sensing technology, the quantity and variety of remote sensing images are growing so quickly that proactive and personalized access to data has become an inevitable trend. One of the active approaches is remote sensing image recommendation, which can offer related image products to users according to their preference. Although multiple studies on remote sens...

Over the past two decades, hyperspectral remote sensing from airborne and satellite systems has been used as a data source for numerous applications. Hyperspectral imaging is quickly moving into the mainstream of remote sensing and is being applied to remote sensing research studies. Hyperspectral remote sensing has great potential for analysing complex urban scenes. However, operational applic...

During the process of applying remote sensing image data, how to save the mass remote sensing image data of different times and use them effectively is an important problem. Researches show that the traditional large commercial relational database cannot storage the mass remote sensing data effectively and also cannot support unlimited data storage. In this paper, we combine the file system, re...

Various sensors from airborne and satellite platforms are producing large volumes of remote sensing images for mapping, environmental monitoring, disaster management, military intelligence, and others. However, it is challenging to efficiently storage, query and process such big data due to the dataand computingintensive issues. In this paper, a Hadoop-based framework is proposed to manage and ...

As an important way to obtain the high-resolution remote sensing images, the unmanned aerial vehicle (UAV) aviation remote sensing plays a more and more important role in the area of photogrammetry and remote sensing application. The correction of the UAV remote sensing images without the ground control points needs high-resolution attitude data. The original attitude data can be obtained from ...

Automatic registration is one of the key technologies for remote sensing image processing.Considering the influence of cloud points, the phenomenon of uneven distributed control points and other problems in the process of registration for the widely used AVHRR remote sensing images, an automatic registration method for AVHRR remote sensing images is proposed. In this method, the cloud points ar...

Remote sensing, the science of obtaining information via noncontact recording, has swept the fields of ecology, biodiversity and conservation (EBC). Several quality review papers have contributed to this field. However, these papers often discuss the issues from the standpoint of an ecologist or a biodiversity specialist. This review focuses on the spaceborne remote sensing of EBC from the pers...

Remote Sensing is simply defined as the observation of an object from some distance. By using the observation of object we can collect the information of an object without any physical contact with that object. We present a new technique for the compression of remote sensing images based on oriented wavelet transform. A 3D-Oriented Wavelet Transform (OWT) is introduced for efficient remote sens...

S PACEBORNE and airborne remote sensors have important applications in environmental monitoring, resource management, disaster response, and homeland security. Remote sensors with different modalities (e.g., multispectral, hyperspectral, optical, infrared, and radar sensors) are now often used together to achieve the optimal outcomes in information mining and scene understanding. Pattern recogn...