The use of KBSs based on evidential reasoning, for land-cover mapping based on remotely-sensed im... more The use of KBSs based on evidential reasoning, for land-cover mapping based on remotely-sensed images is spreading widely. In recent years, KBS utilizing Dempster-Shafer Theory of Evidence (D-S ToE) were found most successful in wide range of remote sensing applications. One important feature of the D-S ToE is that it provides a measure for the evidential support (belief) accumulated for each object class at each pixel. Although cumulative belief values (CBVs) play a major role in classification decisions, their analysis has received little attention in the literature. The objective of the present study was to investigate and to characterize the added value of the KBS by the analysis of the CBV. For that purpose we applied a KBS based on D-S ToE to crop recognition in a wide heterogeneous region and compared its results with those of the application of ISODATA classification. We investigated the relationships between the distribution of the CBV of the different classes and their corresponding classification accuracy/reliability. The CBVs were found to be good indicators of levels of classification complexity in both the pixel and the class scales. In addition to that, levels of two class properties could be analyzed according to the distribution of CBVs of each class: heterogeneity and uniqueness. Moderate and high correlations (r 2 =0.69 and r 2 =0.94) were found between these two properties and classification efficiency of an unsupervised classification (US). Lower correlations were found between these properties and the KBS classification efficiency (r 2 =0.59 and r 2 =0.75). Moreover, US classification was highly affected by heterogeneity and uniqueness as referred from much higher slope coefficients (5 times higher): US classification efficiency decreased with increasing heterogeneity levels and decreasing uniqueness levels. These findings are suggesting that in contrast to the US classification the KBS facilitates identification of a class with little affect of its internal variability (heterogeneity) and its similarity with other classes (lack of uniqueness).
SUMMARY This article discusses the theory of boundary making, including a process driven methodol... more SUMMARY This article discusses the theory of boundary making, including a process driven methodological model. It is a result of a long term practice and study covering wide diversity of topics: from political and technical to stages of precise documentation and boundary maintenance. In this article precise boundary definitions are discussed in light of existing theoretical research, and the order
Beach accretion and erosion developed along the Israeli coastline following coastal structures co... more Beach accretion and erosion developed along the Israeli coastline following coastal structures construction may provide evidence for the direction of the littoral drift. Long-term changes (30-40 years) in the position of the coastline are the indicators of this drift. Methodological improvements involving: selection of the best period for coastline monitoring, enhancement of the shoreline appearance in scanned aerial photography and the increase in the precision of the photographs' geo-referencing procedures increased the accuracy of the detection of these changes. Historical aerial photography for the years between 1951 and 1.990of two sites along the Israeli coastline were processed. The results provided new evidence for the relative contribution of littoral drifts with north to south and south to north directions in determining the coastline position in different locations along the Israeli coast. Evidence is provided for the location of the nodal point in this region.
Spatially adaptive hyperspectral unmixing based on sums of 2D Gaussians for modelling endmember fraction surfaces
2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2015
Empirical assessment and modeling of topographic induced variations in the radar backscattering from different vegetation formations in Mediterranean environment
ABSTRACT
A neural network-based technique for change detection of linear features and its application to a Mediterranean region
IEEE International Geoscience and Remote Sensing Symposium, 2002
Spectral and spatial parameterization of multi-date satellite images for change detection of linear features
IEEE International Geoscience and Remote Sensing Symposium, 2002
A new technique utilizing combination of feature extraction by change vector analysis and analysi... more A new technique utilizing combination of feature extraction by change vector analysis and analysis of distances between features allows improvement in change detection of linear features such as roads and water channels. The technique reduces false detection of changes due to image calibration differences, illumination differences and misregistration. The method was applied to areas of steep climatic gradient between Mediterranean
Mean shift-based clustering of remotely sensed data
IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477), 2003
I. INTRODUCTION Unsupervised clustering plays a most significant role in numerous applications of... more I. INTRODUCTION Unsupervised clustering plays a most significant role in numerous applications of image processing and remote sensing. For example, unsupervised clustering is often used to ultimately classify an area of interest to land cover categories. The approach is ...
A new evolutionary approach is presented, based on implicit pattern-process relationships. For im... more A new evolutionary approach is presented, based on implicit pattern-process relationships. For implementing this approach, any gray level texture image is decomposed into a progressive sequence of binary patch patterns that describe a process of change from background to foreground domination. Each of the binary patterns throughout these sequences is parameterized, using several metrics that describe, for example, its fragmentation level, both for the background (e.g., white) and foreground (e.g., black) patch patterns. Any texture type is then assumed to have a unique evolutionary path represented by a distinctive region in the feature space of metrics characterizing these patterns and their change. Application of hierarchical clustering based on a few (3 or 4) metrics representing characteristic stages in the patterns' change process allowed us to accurately discriminate between 50 samples of 10 Brodatz texture types.
2007 IEEE International Geoscience and Remote Sensing Symposium, 2007
Information extraction from Hyperspectral imagery is highly affected by difficulties in accountin... more Information extraction from Hyperspectral imagery is highly affected by difficulties in accounting for flux density variation and Bidirectional reflectance effects. Calculation of flux density requires digital description of the surface structure at the pixel level, which is frequently not available at the accuracy required (if exists). The result of these shortcomings in achieving accurate radiometric image calibration is reduced separability of surface types: limiting the performance of spectral classification schemes. In this study an alternative approach is presented: application of features of the spectral signature which mainly represent the shape of the spectral curve. This is achieved by applying features calculated based on Wavelet decomposition.
Empirical modeling of soil and vegetation properties from ERS-2 backscatter along a climatic gradient
IEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS'99 (Cat. No.99CH36293), 1999
ABSTRACT
Multitemporal analysis of multispectral unmixing: a satellite remote sensing quantification of natural Mediterranean vegetation compositions
IEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS'99 (Cat. No.99CH36293), 1999
ABSTRACT
Mathematical Modeling and Analysis of Shoreline Changes
Generalising urban runoff and street network density relationship: A hydrological and remote-sensing case study in Israel
Urban Water Journal, 2012
ABSTRACT This paper describes the relationship between urban road network density and urban runof... more ABSTRACT This paper describes the relationship between urban road network density and urban runoff coefficient in the coastal plain of Israel. The study assessed 30 years of recorded changes in rainfall-runoff coefficient in an urban catchment in the coastal plain of Israel. Rain and runoff were measured and sampled at measurement stations. Insight into the factors affecting urban runoff was gained by applying GIS and remote-sensing analysis, including street network density assessment and urban impermeable area recognition. Street network density was found to be a reliable indicator for both urban impermeability (R = 0.83) and runoff (R = 0.92) change dynamics, showing a strong linear correlation. Thus the urban street drainage network can help explain the dynamics of change in urban runoff. To prevent urban flooding hazards, and to help conserve water resources, regional planners should take into consideration road network density in built-up areas.
Roughness—Reflectance relationship of bare desert terrain: An empirical study
Remote Sensing of Environment, 1993
... 45:15-27 (1993) Roughness-Reflectance Relationship of Bare Desert Terrain: An Empirical Study... more ... 45:15-27 (1993) Roughness-Reflectance Relationship of Bare Desert Terrain: An Empirical StudyMaxim Shoshany Department of Geography, Bar Ilan University, Ramat ... Each location was sampled at four Site 7 Site 8 different sun zenith and azimuth angles, for a total i of 60 ...
Spectral indicators for salinity effects in crops: a comparison of a new green indigo ratio with existing indices
Remote Sensing Letters, 2011
... 200411. Netondo, GW, Onyango, JC and Beck, E. 2004. Sorghum and salinity: II. ... 200519. Sku... more ... 200411. Netondo, GW, Onyango, JC and Beck, E. 2004. Sorghum and salinity: II. ... 200519. Skupin, J., Noël, S., Wuttke, MW, Gottwald, M., Bovensmann, H., Weber, M. and Burrows, JP 2005. Sciamachy solar irradiance observation in the spectral range from 240 to 2380 nm. ...
Satellite remote sensing of natural Mediterranean vegetation: a review within an ecological context
Progress in Physical Geography, 2000
Mediterrranean regions are characterized by high spatiotemporal heterogeneity of vegetation patte... more Mediterrranean regions are characterized by high spatiotemporal heterogeneity of vegetation patterns. Understanding the dynamic nature of these environments requires detailed data for wide regions regarding changes in their phyto-ecology, biomass and productivity. This article assesses the current status of satellite remote sensing in this field of application. Mapping the five main life-forms (physiognomic classes) in Mediterranean regions (forests, woodlands, scrub, dwarf shrubs and herbaceous growth) has attracted major attention in recent years. Methodologies developed for this purpose are based on the spectral, temporal and spatial (textural) information domains provided by satellite data. Wide regional vegetation mapping was achieved using phenological classification of vegetation indices derived mainly from NOAA AVHRR images. More detailed mapping was conducted with multispectral techniques in local areas using mainly Landsat TM images. Assessments of multispectral and multi-...
Digital image processing techniques applied to digitized (scanned) aerial photography allow signi... more Digital image processing techniques applied to digitized (scanned) aerial photography allow significant improvements in the process of shoreline detection. Those improvements can be achieved in two areas: firstly, the area of objective and consistent shoreline recognition and secondly in the area of accurate georeferencing of the detected line. From the possible lines, the High Water Line (HWL) is most clearly represented in the photographs by a line of high brightness gradient. Three different enhancement and filtering techniques were utilized for the detection of the HWL. A combination of two of the methods provided an optimal detection methodology. The improvement in the area of georeferencing was achieved by mainly the increase in the number and accuracy of the control points relative to manual methods.
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Papers by Maxim Shoshany