Mauro Dalla Mura

Learn More
—Morphological attribute profiles (APs) are defined as a generalization of the recently proposed morphological profiles (MPs). APs provide a multilevel characterization of an image created by the sequential application of morphological attribute filters that can be used to model different kinds of the structural information. According to the type of the(More)
—In recent years, sparse representations have been widely studied in the context of remote sensing image analysis. In this paper, we propose to exploit sparse representations of morphological attribute profiles for remotely sensed image classification. Specifically, we use extended multiattribute profiles (EMAPs) to integrate the spatial and spectral(More)
In recent years, the development of high-resolution remote sensing image extends the visual field of the terrain features. Back Propagation neural network is widely used in remote sensing image classification in recent years, it is a self-adaptive dynamical system which is widely connected by large amount of neural units, and it bases on distributing store(More)
—Pansharpening aims at fusing a multispectral and a panchromatic image, featuring the result of the processing with the spectral resolution of the former and the spatial resolution of the latter. In the last decades, many algorithms addressing this task have been presented in the literature. However, the lack of universally recognized evaluation criteria,(More)
Remote sensing is one of the most common ways to extract relevant information about the Earth through observations. Remote sensing acquisitions can be done by both active (SAR, LiDAR) and passive (optical and thermal range, mul-tispectral and hyperspectral) devices. According to the sensor , diverse information of Earth's surface can be obtained. These(More)