منابع مشابه
Time-domain optical sensing - Electronics Letters
sensitive paper (Kodak Panalure) with the capillary at the centre. (i) and (ii) in Fig. 3 show the response of a water-filled, uncoated capillary under TE and TM illumination, adjusted to strike a broad range of angles and to highhght the region of the capillary response corresponding to reflections from the internal surface below the critical angle (30a to 90" in Fig. 3). As expected, TE refle...
متن کاملMutual information based image registration for remote sensing data
Hua-mei Chen Department of Computer Science and Engineering University of Texas at Arlington, Arlington, TX 76019, USA Manoj K. Arora and Pramod K. Varshney Department of Electrical Engineering and Computer Science Syracuse University, Syracuse, NY 13244, USA ABSTRACT Registration is a fundamental operation in image processing to align images taken at different times, from different sensors or ...
متن کاملA Content-Based Remote Sensing Image Change Information Retrieval Model
With the rapid development of satellite remote sensing technology, the volume of image datasets in many application areas is growing exponentially and the demand for Land-Cover and Land-Use change remote sensing data is growing rapidly. It is thus becoming hard to efficiently and intelligently retrieve the change information that users need from massive image databases. In this paper, content-b...
متن کاملInformation mining in remote sensing image archives: system concepts
In this paper, we demonstrate the concepts of a prototype of a knowledge-driven content-based information mining system produced to manage and explore large volumes of remote sensing image data. The system consists of a computationally intensive offline part and an online interface. The offline part aims at the extraction of primitive image features, their compression, and data reduction, the g...
متن کاملIntegrated Information Mining and Image Retrieval in Remote Sensing
Most existing remote sensing image retrieval systems allow only simple queries based on sensor, location, and date of image capture. This approach does not permit the efficient retrieval of useful information from large image databases. This chapter presents an integrated approach to retrieving spectral and spatial patterns from remotely sensed multiand hyperspectral images using state-of-the-a...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: The Journal of The Institute of Image Information and Television Engineers
سال: 2016
ISSN: 1342-6907,1881-6908
DOI: 10.3169/itej.70.609