the study on water level fluctuation in the urmia lake has become of a great importance in recent years. this is due to the importance of the position of this lake as a natural heritage at an international level. the water level decrease at the urmia lake during the recent years has made it necessary to address the matter more than before. investigation and assessment of changes in the lake is ...

the main problem associated with the traditional approach to image classification for the mapping of hydrothermal alteration is that materials not associated with hydrothermal alteration may be erroneously classified as hydrothermally altered due to the similar spectral properties of altered and unaltered minerals. the major objective of this paper is to investigate the potential of a neuro-fuz...

T HE constant increase in the amount of remotely sensed images as well as the urgent need for the extraction of useful information from such data sets have made the development of new pattern recognition techniques a popular research topic for several decades. This data volume, together with the complexity of the content acquired by a diverse set of sensors, require new interdisciplinary work i...

Remote sensing technologies such as SoDAR and LiDAR have proved to be cost-effective methods of acquiring critical project datasets from locations that present access challenges. As a result they are increasingly being adopted in the offshore environment where their compact, portable and robust characteristics can be maximally leveraged to acquire data that previously would have represented gre...

Chein-I Chang, FELLOW SPIE University of Maryland Baltimore County Remote Sensing Signal and Image Processing Laboratory Department of Computer Science and Electrical Engineering Baltimore, Maryland 21250 E-mail: [email protected] Abstract. MR images and remotely sensed images share similar image structures and characteristics because they are acquired remotely as image sequences by spectral chan...

Most areas planted with sugarcane are located in southern China. However, remote sensing of sugarcane has been limited because useable remote sensing data are limited due to the cloudy climate of this region during the growing season and severe spectral mixing with other crops. In this study, we developed a methodology for automatically mapping sugarcane over large areas using time-series middl...

Grouping images into semantically meaningful categories using low-level visual feature is a challenging and important problem in content-based image retrieval. The groupings can be used to build effective indices for an image database. Digital image analysis techniques are being used widely in remote sensing assuming that each terrain surface category is characterized with spectral signature ob...