نتایج جستجو برای: hyper spectral
تعداد نتایج: 186872 فیلتر نتایج به سال:
the lithologies of regions, which located near the collision zone, are very different from other geology setting. mapping in these areas needs extensive and exact studies and tools because of the variety of rocks, intensive tectonic uplift and complicated units. hyperspectral sensor is one of the most advanced tools with hundreds of bands that each measures a very narrow range of wavelengths an...
In this paper, with due respect to the original data and based on the extraction of new features by smaller dimensions, a new feature reduction technique is proposed for Hyper-Spectral data classification. For each pixel of a Hyper-Spectral image, a specific rational function approximation is developed to fit its own spectral response curve (SRC) and the coefficients of the numerator and denomi...
Hyper spectral remote sensing imagery, due to its rich source of spectral information provides an efficient tool for ground classifications in complex geographical areas with similar classes. Referring to robustness of Support Vector Machines (SVMs) in high dimensional space, they are efficient tool for classification of hyper spectral imagery. However, there are two optimization issues which s...
Recent advancements in Remote sensing has led the way for the development of Hyper spectral sensors. Hyper spectral remote sensing is a new technology that is currently being used by researchers and scientists with regard to the detection and identification of mineral, vegetation, man-made materials and other features. These sensors are far more superior as they collect information in a very na...
The most significant recent breakthrough in remote sensing has been the development of hyper spectral sensors and software to analyze the resulting image data. Fifteen years ago only the spectral remote sensing experts had access to hyper spectral images or many software tools to take advantage of such images. Over the past decade hyper spectral image analysis has matured into one of the most p...
Hyper-Spectral Imaging sensor (HSI) aboarded on the HJ-1A (The Small Satellite Constellation for Environment and Disaster Monitoring) was launched Sep. 6, 2008, in China. HSI covers the spectral range from 450 nm to 950 nm, with average spectral resolution 4nm[1]. Spectral calibration is one of the key performance parameters of hyper-spectral imaging sensor, the decline of spectral performance ...
Hyper-spectral images consist of huge amount of data. This paper presents a compression technique developed specifically for these images. This technique explores unique characteristics of the hyper-spectral images and incorporates them into the compression. It also exploits the wavelet transformation and bit plane entropy coding used in general image compression. In this technique, predicting ...
Land-use classification for hyper-spectral satellite images requires a previous step of pixel characterization. In the easiest case, each pixel is characterized by its spectral curve. The improvement of the spectral and spatial resolution in hyper-spectral sensors has led to very large data sets. Some researches have focused on better classifiers that can handle big amounts of data. Others have...
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