Remote Sensing Image Processing Functions in Lua Language
نویسندگان
چکیده
منابع مشابه
Remote Sensing Image Processing
About SYNTHESIs This volume is a printed version of a work that appears in the Synthesis Digital Library of Engineering and Computer Science. Synthesis Lectures provide concise, original presentations of important research and development topics, published quickly, in digital and print formats. For more information visit www.morganclaypool.com SYNTHESIS LECTURES ON IMAGE, VIDEO & MULTIMEDIA PRO...
متن کاملRemote Sensing: From Image Processing to Spatio-temporal Processing
This paper gives a brief survey of remote sensing techniques from a viewpoint of pattern recongition and media understanding (PRMU). First we give a brief summary of remote sensing, and then introduce related work on both remote sensing image processing and some unique issues in remote sensing image processing. We moreover point out that the future direction of remote sensing is expected to be ...
متن کاملSignal and Image Processing in Hyperspectral Remote Sensing
I n recent years, it has become clear that hyperspectral imaging has formed a core area within the geoscience and remote sensing community. Armed wi th advanced optical sensing technology, hyperspectral imaging offers high spectral resolution—a hyperspectral image can contain more than 200 spectral channels (rather than a few channels as in multispectral images), covering visible and near-infra...
متن کاملIn perspective-Meeting the image processing challenge for remote sensing
Although man has been observing the condition of his environment from aerial vantage points for many decades, 1 developments of the 1950s and 1960s could be pointed to as the origins of modem remote sensing technology. 2 The last twenty to thirty years have seen dramatic advancements in the design of sensor systems, particularly in the measurement of infrared energy, the advent of the digital c...
متن کاملDWT Based MMRF Segmentation Algorithm for Remote Sensing Image Processing
Image segmentation is very important for pattern recognition, ROI compression and information collection in remote sensing studies. In this paper, we propose an efficient image segmentation algorithm by using the Discrete Wavelet Frame Transform (DWFT) and Multiresolution Markov Random Field (MMRF). This algorithm avoids the over-segmentation that is common in other segmentation algorithms. Our...
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: Journal of Computational Interdisciplinary Sciences
سال: 2017
ISSN: 1983-8409,2177-8833
DOI: 10.6062/jcis.2017.08.03.0133