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Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Kolmogorov-Smirnov type testing for structural breaks: A new adjusted-range based self-normalization approach
结构断裂 Kolmogorov-Smirnov检验 KS检验 调整范围 自归一化方法
2023/4/23
A popular self-normalization (SN) approach in time series analysis uses the variance of a partial sum as a self-normalizer. This is known to be sensitive to irregularities such as persistent autocorre...
RADIOMETRIC NORMALIZATION OF LARGE AIRBORNE IMAGE DATA SETS ACQUIRED BY DIFFERENT SENSOR TYPES
Multi-Sensor Aerial Images Sensor Radiometry Radiometric Adjustment Mosaic
2016/7/4
Generating seamless mosaics of aerial images is a particularly challenging task when the mosaic comprises a large number of im-ages, collected over longer periods of time and with different sensors un...
REDUCTION OF STRIPING NOISE IN OVERLAPPING LIDAR INTENSITY DATA BY RADIOMETRIC NORMALIZATION
LiDAR Intensity Noise Reduction Radiometric Correction Radiometric Normalization Land Cover Classification
2016/7/4
To serve seamless mapping, airborne LiDAR data are usually collected with multiple parallel strips with one or two cross strip(s). Nevertheless, the overlapping regions of LiDAR data strips are usuall...
Handwriting recognition is difficult because of the high
variability of handwriting and because of segmentation errors.
We propose an approach that reduces this variability
without requiring letter...
AUTO-DETECTION OF HETEROGENEOUS AREAS IN RADIOMETRIC NORMALIZATION
Optical Digital Image Radiometry Mosaic
2015/12/31
Due to the difference in illumination condition, atmosphere condition, shooting angle and other inner and outer factors, there are differences in radiometry between different optical remotesensing ima...
Intensity Normalization by Incidence Angle and Range of Full-Waveform LIDAR Data
Laser Data Full-Waveform Point Clouds Intensity
2015/12/16
The analysis of LIDAR data to extract surface features is of great interest in photogrammetric research. Our investigations show that the same material of a surfaces (e.g. gabled roof) yields to diffe...
NORMALIZATION OF MICROWAVE TIME SERIES OBSERVATIONS (1979 - 2005) : APPLICATION TO SURFACE MELTING ANALYSIS OVER ANTARCTICA AND SURFACE TEMPERATURE OVER CANADA/ALASKA
Physical Measurements Signatures
2015/9/8
Polar regions are anticipated to evolve significantly in response to the expected increase in
temperature over the next decades. To bypass the lack of meteorological stations in boreal and
austral h...
radiometric normalization of a time series of spot 4 and spot 5 images (bd isle-reunion) for application in agriculture
radiometric calibration SPOT time series atmospheric correction
2015/9/1
Series of satellite images acquired with high spatial and temporal resolutions provide a potentially ideal source&...
Radiometric normalization of landsat etm+ data for multitemporal analysis
Multitemporal analysis Radiometric normalization Empirical Line Calibration
2015/8/21
The advantages of Remote Sensing for the knowledge of environmental dynamics are widely ascertained by scientific community.
Spatial synchronization and temporal resolution of large areas have meanin...
DOES TOPOGRAPHIC NORMALIZATION OF LANDSAT IMAGES IMPROVE FRACTIONAL TREE COVER MAPPING IN TROPICAL MOUNTAINS?
Landsat Fractional tree cover Topographic correction
2015/5/6
Fractional tree cover (Fcover) is an important biophysical variable for measuring forest degradation and characterizing land cover. Recently, atmospherically corrected Landsat data have become avail...
Evidence for precategorical extrinsic vowel normalization
Speech perception Categorization Psycholinguistics
2015/4/27
Three experiments investigated whether extrinsic vowel normalization takes place largely at a categorical or a precategorical level of processing. Traditional vowel normalization effects in categoriza...
Constraints on the processes responsible for the extrinsic normalization of vowels
extrinsic normalization vowels
2015/4/10
Listeners tune in to talkers’ vowels through
extrinsic normalization. We asked here whether this process
could be based on compensation for the long-term average
spectrum (LTAS) of preceding sounds...
A comparison of normalization and training approaches for ASR-dependent speaker identification
normalization training approaches
2015/3/11
A comparison of normalization and training approaches for ASR-dependent speaker identification.
Cosine Similarity Scoring without Score Normalization Techniques
Similarity Scoring Score Normalization Techniques
2015/3/10
In recent work [1], a simplified and highly effective approach to
speaker recognition based on the cosine similarity between lowdimensional
vectors, termed ivectors, defined in a total variability
...
A Simple Feature Normalization Scheme for Non-native Vowel Assessement
vowel assessment classication normalization
2015/3/9
A Simple Feature Normalization Scheme for Non-native Vowel Assessement.