Image fusion refers to the acquisition, processing and synergistic combination of information
provided by various sensors or by the same sensor in many measuring contexts. The aim of …

Reviews a significant component of the rich field of statistical multiresolution (MR) modeling
and processing. These MR methods have found application and permeated the literature of …

Characterized by a certain focus on the heavily discussed topic of image fusion in its
beginnings, sensor data fusion has played a significant role in the remote sensing research …

Intensity hue saturation (IHS) and wavelet decomposition are two distinct fusion methods
used for enhancing the spatial resolution of multispectral images by exploiting a high …

The objective of this paper is to make a picture of the recent articles published on
information fusion. Indeed, a great number of documents dealing with this technique are …

In order to satisfy the humanitarian information demand in ongoing-and post-crisis
situations, earth observation (EO) data must be streamed through time-critical workflows …

In order to reduce the amount of data collected in the Internet of things, to improve the
processing speed of big data. To reduce the collected data from Internet of Things by …

The spatial estimation for soil properties was improved and sampling intensities also
decreased in terms of incorporated auxiliary data. In this study, kriging and two interpolation …

Recently, the use of linear features for processing remote-sensing images has shown its
importance in applications. Unfortunately, traditional linear feature detection methods rely …

In spite of the exponential growth in the amount of data that one may expect to provide
greater modeling and predictions opportunities, the number and diversity of sources over …