geographic information and analysis provide a wide range of data and techniques to monitor and manage natural resources. as an important case, in arid and semi-arid areas, water management is critical for both local governance and citizens. as a result, the estimation of water potential brought by snowmelt runoff and rainfalls seems to be very useful and important for these areas. hydrological ...

This work introduces an iterative soft cluster refinement method that extensively uses soft cluster evaluation to determine which clusters would discriminate between classes in a classification scheme. This iterative refinement is part of the continuous iterative guided spectral class rejection (CIGSCR) classification method for remotely sensed images. Results indicate that CIGSCR produces good...

In this position paper we argue that the temporal features of sensed data present a number of fundamental challenges to the development of systems software and programming approaches for the development of pervasive systems, that are yet to be addressed. After an overview of these features, we discuss their impact on the design of infrastructure to support data storage, data access, and reasoni...

Unsupervised change detection using fuzzy cmeans and MRF from remotely sensed images Ming Hao, Hua Zhang, Wenzhong Shi & Kazhong Deng To cite this article: Ming Hao, Hua Zhang, Wenzhong Shi & Kazhong Deng (2013) Unsupervised change detection using fuzzy c-means and MRF from remotely sensed images, Remote Sensing Letters, 4:12, 1185-1194, DOI: 10.1080/2150704X.2013.858841 To link to this article...

Since the launch of Landsat-1 28 years ago, remotely sensed data have been used to map features on the earth's surface. An increasing number of health studies have used remotely sensed data for monitoring, surveillance, or risk mapping, particularly of vector-borne diseases. Nearly all studies used data from Landsat, the French Système Pour l'Observation de la Terre, and the National Oceanic an...

In this work we address the problem of tolerance representation and analysis across the domains of industrial inspection using sensed data, CAD design, and manufacturing. Instead of using geometric primitives in CAD models to define and represent tolerances, we propose the use of stronger methods that are completely based on the manufacturing knowledge for the objects to be inspected. We guide ...

It is a well-known problem of remotely sensed images classification due to its complexity. This paper proposes a remotely sensed image classification method based on weighted complex network clustering using the traditional K-means clustering algorithm. First, the degree of complex network and clustering coefficient of weighted feature are used to extract the features of the remote sensing imag...

Following prolonged exposure to an odorant, C. elegans exhibits a diminished response to the odorant for several hours. This olfactory adaptation is odorant selective; animals can adapt independently to different odorants sensed by a single pair of olfactory neurons, the AWC neurons. The mechanism of olfactory adaptation is genetically complex, with different genes required for adaptation to di...

In-network data aggregation is one of the most important issues for achieving energy-efficiency in wireless sensor networks since sensor nodes in the surrounding region of an event may generate redundant sensed data. The redundant sensed data should be aggregated before being delivered to the sink to reduce energy consumption. Which node should be selected as a Data Aggregation Node (DAN) for a...