The self-attention mechanism can break the limitation of receptive field, model in a global scope, and extract information efficiently. In this work, we propose lightweight remote sensing building change detection (ESACD). encoder, use enhanced layer, CoT instead normal convolution operation. layer fuses dynamic context with static context. Compared ordinary convolutional strategy fully mine lo...

Building-change detection underpins many important applications, especially in the military and crisis-management domains. Recent methods used for change have shifted towards deep learning, which depends on quality of its training data. The assembly large-scale annotated satellite imagery datasets is therefore essential global building-change surveillance. Existing almost exclusively offer near...

in recent years due to improvements of technology within automobile industry, design process of advanced driver assistance systems for collision avoidance and traffic management has been investigated in both academics and industrial levels. detection of traffic signs is an effective method to reach the mentioned aims. in this paper a new intelligent driver assistance system based on traffic sig...

In this paper, a new approach for automated extraction of building boundary from high resolution imagery is proposed. The proposed approach uses both geometric and spectral properties of a building to detect and locate buildings accurately. It consists of automatic generation of high quality point cloud from the imagery, building detection from point cloud, classification of building roof and g...

A new approach for determining building boundaries through automatic processing of light detection and ranging (LIDAR) data is presented. In general, LIDAR data is processed and interpolated into grayscale images with pixel values corresponding to height measurements. In a recent work, a progressive morphological filter was used to separate ground from non-ground measurements. Further separatio...

When there are many people who don't need to expect something more than the benefits to take, we will suggest you to have willing to reach all benefits. Be sure and surely do to take this multispectral satellite image understanding from land classification to building and road detection that gives the best reasons to read. When you really need to get the reason why, this multispectral satellite...

The detection of thermal insulation failures in buildings in operation responds to the challenge of improving building energy efficiency. This multidisciplinary study presents a novel four-step soft computing knowledge identification model called IKBIS to perform thermal insulation failure detection. It proposes the use of Exploratory Projection Pursuit methods to study the relation between inp...

We introduce the harvesting of natural background radioactivity for positioning. Using a standard Geiger-Müller counter as sensor, we fingerprint the natural levels of gamma radiation with the aim of then roughly pinpointing the position of a client in terms of interfloor, intrafloor, and indoor-versus-outdoor locations. We find that the performance of a machine-learning algorithm in detecting ...