A Novel Radiometric Control Set Sample Selection Strategy for Relative Radiometric Normalization of Multitemporal Satellite Images

[1]  Fernando Pérez-Cabello,et al.  Assessment of radiometric correction techniques in analyzing vegetation variability and change using time series of Landsat images , 2008 .

[2]  Michael Schultz,et al.  Error Sources in Deforestation Detection Using BFAST Monitor on Landsat Time Series Across Three Tropical Sites , 2016, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[3]  Vahid Sadeghi,et al.  A new model for automatic normalization of multitemporal satellite images using Artificial Neural Network and mathematical methods , 2013 .

[4]  Hao He,et al.  Relative radiometric correction of high-resolution remote sensing images based on feature category , 2018, Cluster Computing.

[5]  Francesca Bovolo,et al.  A Theoretical Framework for Unsupervised Change Detection Based on Change Vector Analysis in the Polar Domain , 2007, IEEE Transactions on Geoscience and Remote Sensing.

[6]  Peng Gong,et al.  Modelling spatial‐temporal change of Poyang Lake using multitemporal Landsat imagery , 2008 .

[7]  Eero P. Simoncelli,et al.  Image quality assessment: from error visibility to structural similarity , 2004, IEEE Transactions on Image Processing.

[8]  Safa Khazai,et al.  Integrating Thresholding With Level Set Method for Unsupervised Change Detection in Multitemporal SAR Images , 2017 .

[9]  Nhat-Duc Hoang,et al.  Fast Local Laplacian-Based Steerable and Sobel Filters Integrated with Adaptive Boosting Classification Tree for Automatic Recognition of Asphalt Pavement Cracks , 2018 .

[10]  P. M. Teillet,et al.  Image correction for radiometric effects in remote sensing , 1986 .

[11]  Peter J. Rousseeuw,et al.  Robust regression and outlier detection , 1987 .

[12]  R. Fisher The Advanced Theory of Statistics , 1943, Nature.

[13]  S. Goetz,et al.  Radiometric rectification - Toward a common radiometric response among multidate, multisensor images , 1991 .

[14]  W. Malila Change Vector Analysis: An Approach for Detecting Forest Changes with Landsat , 1980 .

[15]  Chunming Li,et al.  Level set evolution without re-initialization: a new variational formulation , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[16]  Timo Tokola,et al.  Relative radiometric correction of multi-temporal ALOS AVNIR-2 data for the estimation of forest attributes , 2012 .

[17]  J. J. Caballero-Novella,et al.  Semi-Automatic Normalization of Multitemporal Remote Images Based on Vegetative Pseudo-Invariant Features , 2014, PloS one.

[18]  Xu Chen,et al.  Adaptive fast local Laplacian filters and its edge-aware application , 2017, Multimedia Tools and Applications.

[19]  Jerry L. Prince,et al.  Snakes, shapes, and gradient vector flow , 1998, IEEE Trans. Image Process..

[20]  Knut Conradsen,et al.  Multivariate Alteration Detection (MAD) and MAF Postprocessing in Multispectral, Bitemporal Image Data: New Approaches to Change Detection Studies , 1998 .

[21]  P. Chavez An improved dark-object subtraction technique for atmospheric scattering correction of multispectral data , 1988 .

[22]  Frédo Durand,et al.  Fast Local Laplacian Filters , 2014, ACM Trans. Graph..

[23]  Ashish Ghosh,et al.  Fuzzy clustering algorithms for unsupervised change detection in remote sensing images , 2011, Inf. Sci..

[24]  S. Osher,et al.  Algorithms Based on Hamilton-Jacobi Formulations , 1988 .

[25]  Tetsuro Sakai,et al.  Mapping a burned forest area from Landsat TM data by multiple methods , 2016 .

[26]  Bingfang Wu,et al.  A drought monitoring operational system for China using satellite data: design and evaluation , 2016 .

[27]  M. Canty,et al.  Automatic radiometric normalization of multitemporal satellite imagery , 2004 .

[28]  J. Cihlar,et al.  Radiometric normalization of multitemporal high-resolution satellite images with quality control for land cover change detection , 2002 .

[29]  Yiquan Wu,et al.  An improved local Laplacian filter based on the relative total variation , 2018, Digit. Signal Process..

[30]  S. Mohammad Ya’allah,et al.  Automatic normalization of satellite images using unchanged pixels within urban areas , 2005, Inf. Fusion.

[31]  Nicolas Brodu,et al.  Super-Resolving Multiresolution Images With Band-Independent Geometry of Multispectral Pixels , 2016, IEEE Transactions on Geoscience and Remote Sensing.

[32]  Stuart R. Phinn,et al.  Assessing Radiometric Correction Approaches for Multi-Spectral UAS Imagery for Horticultural Applications , 2018, Remote. Sens..

[33]  Lisheng Song,et al.  A new model for the automatic relative radiometric normalization of multiple images with pseudo-invariant features , 2016 .

[34]  Katrien van Driessen,et al.  A Fast Algorithm for the Minimum Covariance Determinant Estimator , 1999, Technometrics.

[35]  Jan Kautz,et al.  Local Laplacian filters: edge-aware image processing with a Laplacian pyramid , 2011, SIGGRAPH 2011.

[36]  R. Kauth,et al.  The tasselled cap - A graphic description of the spectral-temporal development of agricultural crops as seen by Landsat , 1976 .

[37]  Olivier Klein,et al.  Detecting multivariate outliers: Use a robust variant of the Mahalanobis distance , 2018 .

[38]  Ke-Sheng Cheng,et al.  Hypothesis-test-based landcover change detection using multi-temporal satellite images – A comparative study , 2008 .

[39]  Xiaojun Yang,et al.  Relative Radiometric Normalization Performance for Change Detection from Multi-Date Satellite Images , 2000 .

[40]  Yang Dam Eo,et al.  Generation of Radiometric, Phenological Normalized Image Based on Random Forest Regression for Change Detection , 2017, Remote. Sens..

[41]  Sim Heng Ong,et al.  Integrating spatial fuzzy clustering with level set methods for automated medical image segmentation , 2011, Comput. Biol. Medicine.

[42]  Donald Gustafson,et al.  Fuzzy clustering with a fuzzy covariance matrix , 1978, 1978 IEEE Conference on Decision and Control including the 17th Symposium on Adaptive Processes.

[43]  Yongjun Zhang,et al.  A Mixed Radiometric Normalization Method for Mosaicking of High-Resolution Satellite Imagery , 2017, IEEE Transactions on Geoscience and Remote Sensing.

[44]  R. Gens Remote sensing of coastlines: detection, extraction and monitoring , 2010 .

[45]  Safa Khazai,et al.  An improved fast level set method initialized with a combination of k-means clustering and Otsu thresholding for unsupervised change detection from SAR images , 2017, Arabian Journal of Geosciences.

[46]  Alex M. Lechner,et al.  Comparison of relative radiometric normalization methods using pseudo-invariant features for change detection studies in rural and urban landscapes , 2012 .

[47]  Edward H. Adelson,et al.  The Laplacian Pyramid as a Compact Image Code , 1983, IEEE Trans. Commun..