As we have entered an era of high resolution earth observation, the RS data are undergoing an explosive\ud growth. The proliferation of data also give rise to the increasing complexity of RS data, like the diversity\ud and higher dimensionality characteristic of the data. RS data are regarded as RS ‘‘Big Data’’. Fortunately, we are witness the coming technological leapfrogging. In this paper, we give a brief overview on the Big Data and data-intensive problems, including the analysis of RS Big Data, Big Data challenges, current techniques and works for processing RS Big Data
Global fine-scale information extraction tasks using today’s remote sensing technologies are compare...
Remote sensing automatic interpretation symbol (RSAIS) is an inexpensive and fast method in providin...
Most data sets and streams have a geospatial component. Some people even claim that about 80% of all...
As we have entered an era of high resolution earth observation, the RS data are undergoing an explos...
Nowadays, our ability to acquire remote sensing data has been improved to an unprecedented level.[.....
With the rapid development of high-resolution earth observation systems, the data processing, algori...
Big Data Analytics methods take advantage of techniques from the fields of data mining, machine lear...
Big Data Analytics methods take advantage of techniques from the fields of data mining, machine lear...
The increased availability of large remote sensing datasets is generating heightened interest within...
The development of the latest-generation sensors mounted on board of Earth observation platforms has...
The big data analytics approach emerged that can be interpreted as extracting information from large...
The big data analytics approach emerged that can be interpreted as extracting information from large...
As stated in literature by several authors, there has been literally big-bang explosion in data acqu...
Big data has now become a strong focus of global interest that is increasingly attracting the attent...
Applications of remote sensing (RS) data cover several fields such as: cartography, surveillance, la...
Global fine-scale information extraction tasks using today’s remote sensing technologies are compare...
Remote sensing automatic interpretation symbol (RSAIS) is an inexpensive and fast method in providin...
Most data sets and streams have a geospatial component. Some people even claim that about 80% of all...
As we have entered an era of high resolution earth observation, the RS data are undergoing an explos...
Nowadays, our ability to acquire remote sensing data has been improved to an unprecedented level.[.....
With the rapid development of high-resolution earth observation systems, the data processing, algori...
Big Data Analytics methods take advantage of techniques from the fields of data mining, machine lear...
Big Data Analytics methods take advantage of techniques from the fields of data mining, machine lear...
The increased availability of large remote sensing datasets is generating heightened interest within...
The development of the latest-generation sensors mounted on board of Earth observation platforms has...
The big data analytics approach emerged that can be interpreted as extracting information from large...
The big data analytics approach emerged that can be interpreted as extracting information from large...
As stated in literature by several authors, there has been literally big-bang explosion in data acqu...
Big data has now become a strong focus of global interest that is increasingly attracting the attent...
Applications of remote sensing (RS) data cover several fields such as: cartography, surveillance, la...
Global fine-scale information extraction tasks using today’s remote sensing technologies are compare...
Remote sensing automatic interpretation symbol (RSAIS) is an inexpensive and fast method in providin...
Most data sets and streams have a geospatial component. Some people even claim that about 80% of all...