Cloud detection for MIPAS using singular vector decomposition
نویسندگان
چکیده
منابع مشابه
metrics for the detection of changed buildings in 3d old vector maps using als data (case study: isfahan city)
هدف از این تحقیق، ارزیابی و بهبود متریک های موجود جهت تایید صحت نقشه های قدیمی سه بعدی برداری با استفاده از ابر نقطه حاصل از لیزر اسکن جدید شهر اصفهان می باشد . بنابراین ابر نقطه حاصل از لیزر اسکنر با چگالی حدودا سه نقطه در هر متر مربع جهت شناسایی عوارض تغییر کرده در نقشه های قدیمی سه بعدی استفاده شده است. تمرکز ما در این تحقیق بر روی ساختمان به عنوان یکی از اصلی ترین عارضه های شهری می باشد. من...
Detection of Cloud Effects in Mipas Spectral Data and Implications for the Mipas Operational Processor
The Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) instrument measures the intensity of atmospheric radiation emitted in the infra -red spectral region in five bands ranging from 685 cm to 2410 cm. Previous low spectral resolution observations of such infra-red emissions by the Cryogenic Infrared Spectrometers and Telescopes for the Atmosphere (CRISTA) had revealed the presen...
متن کاملCloud Detection and Distributions from Mipas Infra-red Limb Observations
Clouds are important for their radiative forcing, control of water vapour, chemical interactions, and effects on trace gas retrievals from remote sensing. Historically, clouds have been observed principally using nadir sounding but more recently limb-sounding instruments have demonstrated their sensitivity particularly to sub-visible cirrus. The Michelson Interferometer for Passive Atmospheric ...
متن کاملWavelet based corner detection using singular value decomposition
In this paper we present a novel technique for wavelet-based corner detection using singular value decomposition (SVD). Here SVD facilitates the selection of global natural scale in discrete wavelet transform. We define natural scale as the level associated with most prominent (dominant) eigenvalue. Eigenvector corresponding to dominant eigenvalue is considered as the natural scale. The corners...
متن کاملVoice activity detection using singular value decomposition-based filter
This paper proposes a novel voice activity detector (VAD) based on singular value decomposition (SVD). The spectro-temporal characteristics of background noise region can be easily analyzed by SVD. The proposed method naturally drops hangover algorithm from VAD. Moreover, it adaptively changes the decision threshold by employing the most dominant singular value of the observation matrix in the ...
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: Atmospheric Measurement Techniques
سال: 2009
ISSN: 1867-8548
DOI: 10.5194/amt-2-533-2009