We have developed an automated feature detection/classification system, called GENetic Imagery Exploitation (GENIE), which has been designed to generate image processing pipelines for a variety of feature detection/classification tasks. GENIE is a hybrid evolutionary algorithm that addresses the general problem of finding features of interest in multispectral remotely-sensed images. We describe...

A novel dynamic threshold method for unsupervised change detection from remotely sensed images Pengfei He, Wenzhong Shi, Hua Zhang & Ming Hao To cite this article: Pengfei He, Wenzhong Shi, Hua Zhang & Ming Hao (2014) A novel dynamic threshold method for unsupervised change detection from remotely sensed images, Remote Sensing Letters, 5:4, 396-403, DOI: 10.1080/2150704X.2014.912766 To link to ...

In the areas of communications engineering and biomedical engineering, cloud computing for storing data running complex algorithms have been steadily increasing due to increase in internet things connected health. As IoT devices such as wearable ECG recorders generally less storage computational capacity, acquired signals get sent a remote center possible analysis on demand. Recently, compressi...

Interpreting remotely sensed data typically requires expensive specialized computing machinery capable of stor ing and manipulating large amounts of data quickly In this paper we present a method for accurately analyzing and categorizing remotely sensed data on much smaller less expensive platforms Data size is reduced in such a way as to retain the integrity of the original data where the form...

The landuse or land-cover map depicts the physical coverage of the Earth’s terrestrial surface according to its use. Landuse map generation from remotely sensed images is one of the challenging tasks of remote sensing technology. In this article, motivated from group forming behavior of real ants, we have proposed two novel ant based (one supervised and one unsupervised) algorithms to automatic...

An essential aspect of map-based navigation is the determination of an agent’s current location based on sensed data from the environment. Formally, this amounts to specifying the current viewpoint in some world model coordinate system. This localization process has two distinct components: one involving the establishment of correspondences between aspects of the sensed data and the map or mode...