Journal ArticleDOI
Textural information of multitemporal ERS-1 and JERS-1 SAR images with applications to land and forest type classification in boreal zone
L. Kurvonen,M.T. Hallikainen +1 more
Reads0
Chats0
TLDR
The best separability of the signatures and the best land-cover and forest type classification accuracy was achieved under summer conditions, and the snow cover and arid conditions decreased the textural information of the SAR images.Abstract:
The textural information of a multitemporal set of ERS-1 and JERS-1 synthetic aperture radar (SAR) images was studied with the first- and second-order statistical measures. These measures had a higher information value for the land-cover and forest type classification than the SAR image intensity. The multitemporal approach was beneficial for the application of the textural measures; the textural parameters significantly improved the classification of land-cover and forest types. Based on the SAR image texture, the overall classification accuracy for seven land-cover types was 65%, while with the SAR image intensity, the classification accuracy was 50%, respectively. In the forest type classification based on the SAR image texture and intensity, the overall classification accuracy for four forest types was 66%, while with the intensity, the accuracy was 40%, respectively. The weather and seasonal conditions had a significant effect on the textural information of SAR images. The best separability of the signatures and the best land-cover and forest type classification accuracy was achieved under summer conditions. The snow cover and arid conditions decreased the textural information of the SAR images.read more
Citations
More filters
Journal ArticleDOI
An analysis of co-occurrence texture statistics as a function of grey level quantization
TL;DR: In this article, the effect of grey level quantization on the ability of co-occurrence probability statistics to classify natural textures is studied and the preferred statistics set (contrast, correlation, and entropy) is demonstrated to be an improvement over using single statistics or using the entire set of statistics.
Journal ArticleDOI
A neural network approach using multi-scale textural metrics from very high-resolution panchromatic imagery for urban land-use classification
TL;DR: Very high-resolution panchromatic images from QuickBird and WorldView-1 have been used to accurately classify the land-use of four different urban environments and show that with a multi-scale approach it is possible to discriminate different asphalt surfaces due to the different textural information content.
Journal ArticleDOI
Recent Trend and Advance of Synthetic Aperture Radar with Selected Topics
TL;DR: A short review is presented on the recent trend and development of SAR and related techniques with selected topics, including the fields of applications, specifications of airborne and spaceborne SARs, and information contents in and interpretations of amplitude data, interferometric SAR (InSar) data, and polarimetric SAR (PolSAR) data.
Journal ArticleDOI
Retrieval of biomass in boreal forests from multitemporal ERS-1 and JERS-1 SAR images
TL;DR: The response of JERS-1 and ERS-1 synthetic aperture radar (SAR) to the forest stem volume (biomass) was investigated by employing a digital stem volume map and weather information and a new indirect inversion method was developed and tested to estimate the forest blockwise stem volume.
Journal ArticleDOI
Relating SAR image texture to the biomass of regenerating tropical forests
TL;DR: In this article, the use of remotely sensed data in optical wavelengths has been of limited use due to both the weak relationship between optical radiation and forest biomass and nearconstant cloud cover in the tropics.
References
More filters
Journal ArticleDOI
Statistical and structural approaches to texture
TL;DR: This survey reviews the image processing literature on the various approaches and models investigators have used for texture, including statistical approaches of autocorrelation function, optical transforms, digital transforms, textural edgeness, structural element, gray tone cooccurrence, run lengths, and autoregressive models.
Remote sensing: The quantitative approach
S. M. Davis,David A. Landgrebe,T. L. Phillips,Philip H. Swain,R. M. Hoffer,J. C. Lindenlaub,L. F. Silva +6 more
TL;DR: In this paper, the authors describe the traitement de donnees reference record created on 2005-06-20, modified on 2016-08-08 and used for remote sensing.
Journal ArticleDOI
Michigan microwave canopy scattering model
TL;DR: The Michigan Microwave Canopy Scattering model (MIMICS) as mentioned in this paper is based on a first-order solution of the radiative-transfer equation for a tree canopy comprising a crown layer, a trunk layer and a rough-surface ground boundary.
Journal ArticleDOI
Textural Infornation in SAR Images
TL;DR: In this paper, a multiplicative model was used to relate the image variance for a given land-use category to the individual variances associated with image speckle and target texture.
Journal ArticleDOI
Land-cover classification and estimation of terrain attributes using synthetic aperture radar
TL;DR: In this article, a geophysical and biophysical information processor for synthetic aperture radar (SAR) is presented, which operates in a sequential fashion to first classify terrain according to structural attributes and then apply class-specific retrievals for geophysical properties.