Haze reduction from the visible bands of LANDSAT TM and ETM+ images over a shallow water reef environment

A method for haze reduction in the visible bands of Landsat TM and ETM+ images over a shallow water marine environment is presented in this paper. This method uses the near infrared (NIR) band to estimate the spatial distribution of haze intensity in each visible band through a linear regression model established over deep water areas. As a first order approximation, the signal received at the sensor is assumed to be the arithmetic sum of radiance contributed by haze and the radiance leaving the water surface. Reduction of haze is then carried out by a simple subtraction procedure. Images acquired over the Southern Tip of Palawan, Philippines are used for the experiments. Results show that the method works well for compensating signals contaminated by optically thin haze. Overcorrection occurs when haze is optically thick and geometrically complex. When images are acquired under hazy conditions the method can be applied to drastically improve image interpretability and may also be considered as a necessary pre-processing step for subsequent analyses and information extraction.

[1]  B. Guindon,et al.  ROBUST HAZE REDUCTION: AN INTEGRAL PROCESSING COMPONENT IN SATELLITE-BASED LAND COVER MAPPING , 2002 .

[2]  Joon Heo,et al.  A Standardized Radiometric Normalization Method for Change Detection Using Remotely Sensed Imagery , 2000 .

[3]  Serge Andréfouët,et al.  Spectral reflectance of coral reef bottom-types worldwide and implications for coral reef remote sensing , 2003 .

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

[5]  J. Lavreau De-Hazing Landsat Thematic Mapper Images , 1991 .

[6]  J. Luczkovich,et al.  Discrimination of coral reefs, seagrass meadows, and sand bottom types from space - A Dominican Republic case study , 1993 .

[7]  A. Bott On the influence of the physico-chemical properties of aerosols on the life cycle of radiation fogs , 1991 .

[8]  P. Teillet,et al.  On the Dark Target Approach to Atmospheric Correction of Remotely Sensed Data , 1995 .

[9]  E. Helmer,et al.  Cloud-Free Satellite Image Mosaics with Regression Trees and Histogram Matching. , 2005 .

[10]  Ellsworth F. LeDrew,et al.  Spectral Discrimination of Healthy and Non-Healthy Corals Based on Cluster Analysis, Principal Components Analysis, and Derivative Spectroscopy , 1998 .

[11]  Wei Li,et al.  Spectral Signatures of Coral Reefs: Features from Space , 2001 .

[12]  J. Cihlar,et al.  An image transform to characterize and compensate for spatial variations in thin cloud contamination of Landsat images , 2002 .

[13]  Masayuki Tamura,et al.  Detection limits of coral reef bleaching by satellite remote sensing: Simulation and data analysis , 2004 .

[14]  Serge Andréfouët,et al.  Sea surface correction of high spatial resolution Ikonos images to improve bottom mapping in near-shore environments , 2003, IEEE Trans. Geosci. Remote. Sens..

[15]  Janet E. Nichol,et al.  Noise over water surfaces in Landsat TM images , 2004 .

[16]  Eric P. Crist,et al.  A Physically-Based Transformation of Thematic Mapper Data---The TM Tasseled Cap , 1984, IEEE Transactions on Geoscience and Remote Sensing.

[17]  Kendall L. Carder,et al.  Change detection in shallow coral reef environments using Landsat 7 ETM+ data , 2001 .

[18]  S. Maritorena,et al.  Remote sensing of the water attenuation in coral reefs: a case study in French Polynesia , 1996 .

[19]  Christopher Justice,et al.  The impact of misregistration on change detection , 1992, IEEE Trans. Geosci. Remote. Sens..

[20]  I. S. Robinson,et al.  Monitoring marine ecological changes on the east coast of Bahrain with Landsat TM , 1993 .

[21]  William J. Volchok,et al.  Radiometric scene normalization using pseudoinvariant features , 1988 .

[22]  Rudolf Richter,et al.  Atmospheric correction of satellite data with haze removal including a haze/clear transition region , 1996 .

[23]  Kendall L. Carder,et al.  Atmospheric correction and cross-calibration of LANDSAT-7/ETM+ imagery over aquatic environments: A multiplatform approach using SeaWiFS/MODIS , 2001 .