In this paper, we present an audio and music similarity and retrieval(AMSR) system, which employed sparse feature representations. Our system first extracts Melscaled spectrum from audio snippet. Next, sparse restricted Boltzmann machine (RBM) is trained for feature representation. In order to enhance computational efficiency in retrieval phase, we employed locality sensitive hashing (LSH) meth...

Recent progress in sea ice concentration remote sensing by satellite microwave radiometers has been stimulated by two developments: First, the new sensor AMSR-E offers spatial resolutions of approximately 6x4 km at 89 GHz, nearly three times the resolution of the standard sensor SSM/I at 85 GHz (15x13 km). Second, a new algorithm enables to estimate sea ice concentration from the channels near ...

Scatterometer ocean surface winds have been providing very valuable information to researchers and operational weather forecasters for over 10 years. However, the scatterometer wind retrievals are compromised when rain is present. Merely flagging all rain-affected areas removes the most dynamic and interesting areas from the wind analysis. Fortunately, the Advanced Earth Observing Satellite II ...

Knowledge of temporal and spatial variation in root zone soil moisture content across Australia is vital for a wide range of environmental and socio-economic activities. However, such information is not currently available, due to an inability to monitor with ground-based point measurement techniques at an appropriate spatial resolution, and the uncertainty associated with land surface model pr...

Active and passive neutron-coincidence counting (NCC) is used routinely for nondestructive assay (NDA) of uranium and plutonium, in many forms. Passive neutron multiplicity counting (PNMC) is used routinely for NDA of plutonium scrap and waste. We’ve developed and extensively tested new electronics that significantly improves precision of double and triple coincidences, and multiplicity assays....

This empirical study demonstrates the feasibility of using 89-GHz Advanced Microwave Scanning Radiometer–Earth Observing System (AMSR-E) passive microwave brightness temperature data to detect heavily drizzling cells within subtropical marine stratocumulus. For the purpose of this paper, we define heavily drizzling cells as areas ≥ 6 km× 4 km with C-band Z > 0 dBZ; equivalent to > 0.084 mm h−1....

The goal of this work is to intercompare four global land surface emissivity products over various landcover conditions to assess their consistency. The intercompared land emissivity products were generated over a 5year period (2003–2007) using observations from the Advanced Microwave Scanning Radiometer – Earth Observing System (AMSR-E), the Special Sensor Microwave Imager (SSM/I), the Tropica...

The land surface soil moisture is a crucial variable in weather and climate models. This study presents a land data assimilation system (LDAS) that aims to improve the simulation of the land surface soil moisture and energy fluxes bymerging themicrowave remote sensing data and the general circulationmodel (GCM)output into a land surfacemodel (LSM). This systemwas applied over the TibetanPlateau...

The measurement of ocean surface wind speeds in precipitation from satellite microwave radiometers is a challenging task. Rain attenuates the signal that emitted surface. Moreover, rain and signals are very similar, which makes it difficult to distinguish rain. contamination can be mitigated for operate simultaneously at C-band X-band channels, such as WindSat, AMSR-E AMSR2. basic principle use...

Soil moisture plays a crucial role in the assessment of weather patterns and analyzing precipitation. The analysis soil surface has been most efficient with passive remote sensing. study attempts extraction quantifying it rainfall. Marathwada division was selected as area, region corresponds to low rainfall is drought-prone area. data used were AMSR-E/Aqua Daily L3 gridded CHRS data, daily prod...