Noise Reduction of Multi-Spectral Scanner Image Data Using Scan Overlap
نویسندگان
چکیده
منابع مشابه
Noise reduction using perceptual spectral change
This article deals with the problem of noise reduction for hands-free sound pick-up. Our context is more precisely the sound pick-up using single microphone in cars. In such environments, the speech is highly corrupted by engine and aerodynamics noises. The methods proposed here try to enhance noise reduction systems based on Wiener filtering in the frequency domain by taking into account the s...
متن کاملClassification of multi-spectral satellite image data
This paper describes a novel classification technique—NRBF (Normalized Radial Basis Function) neural network classifier based on spectral clustering methods. The spectral method is used in the unsupervised learning part of the NRBF neural networks. Compared with other general clustering methods used in NRBF neural networks, such as KMeans, the spectral method can avoid the local minima problem ...
متن کاملReduction of Noise Image Using LMMSE
There exist various image de-noising techniques. Amongst them orthogonal wavelet is preferred one. However, the orthogonal wavelet transform is not better technique as proper clustering of wavelet coefficients is not possible in this technique. So a better image de-noising technique is needed to have a better SNR and greater image information. In this work, image de-noising by linear minimum me...
متن کاملNoise Reduction Using Multi-resolution Edge Analysis
In this paper, a new noise reduction algorithm is proposed. In general, an edge—high frequency information in an image—would be filtered or suppressed after image smoothing. The noise would be attenuated, but the image would lose its sharp information. This defect makes the post-processing harder. One new algorithm performs connectivity analysis on edge-data to make sure that only isolated edge...
متن کاملMulti-level Data Fusion for the Detection of Targets using multi-spectral Image Sequences
This paper presents an approach to the long range automatic detection of vehicles, using multi-sensor image sequences. The method was tested on a database of multi-spectral image sequences, acquired under diverse operational conditions. The approach consists of two parts. The rst part uses a semi-supervised approach, based on texture parameters, for detecting stationary targets. For each type o...
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: Transactions of the Society of Instrument and Control Engineers
سال: 1980
ISSN: 0453-4654
DOI: 10.9746/sicetr1965.16.880