The class of regular languages is not identi able from positive data in Gold's language learning model. Many attempts have been made to de ne interesting classes that are learnable in this model, preferably with the associated learner having certain advantageous properties. Heinz '09 presents a set of language classes called String Extension (Learning) Classes, and shows it to have several desi...

Ramsey’s Theorem tells us that there are exactly two minimal hereditary classes containing graphs with arbitrarily many vertices: the class of complete graphs and the class of edgeless graphs. In other words, Ramsey’s Theorem characterizes the graph vertex number in terms of minimal hereditary classes where this parameter is unbounded. In the present paper, we show that a similar Ramsey-type ch...

Land-cover maps are important tools for monitoring large-scale environmental change and can be regularly updated using free satellite imagery data. A key challenge with constructing these is missing data in the images on which they based. To address this challenge, we created a Spatial Random Forest (S-RF) model that accurately interpolate based modest training set of observed image interest. W...

We give a decomposition formula of the zeta function of a regular covering of a graph G with respect to equivalence classes of prime, reduced cycles of G. Furthermore, we give a decomposition formula of the zeta function of a g-cyclic -cover of a symmetric digraph D with respect to equivalence classes of prime cycles of D, for any 0nite group and g∈ . c © 2002 Elsevier Science B.V. All rights r...

Land cover change may be overestimated due to positional error in multi-temporal images. To assess the potential magnitude of this bias, we introduced random positional error to identical classiŽ ed images and then subtracted them. False land cover change ranged from less than 5% for a 5-class AVHRR classiŽ cation, to more than 33% for a 20-class Landsat TM classiŽ cation. The potential for fal...

The free reception of Advanced Very High Resolution Radiometer (AVHRR) data keeps a growing interest for the remote sensing community concerned with vegetation studies on regional and global scales. However, the use of AVHRR data for long-term quantitative monitoring requires consistent surface reflectance data. This implies correcting the effects from varying sun sensor target geometries in mu...

Many previous studies have attempted to extract prior reflectance anisotropy knowledge from the historical MODIS Bidirectional Reflectance Distribution Function (BRDF) product based on land cover or Normalized Difference Vegetation Index (NDVI) data. In this study, the feasibility of the method is discussed based on MODIS data and archetypal BRDFs. The BRDF is simplified into six archetypal BRD...

The state of conservation of Atlantic Forest in the Maquiné river basin was assessed using land cover data obtained from Landsat TM 5 satellite imagery (October 1995). The initial analysis examined the distribution of the relative areas of each land-cover type according to landscape slope classes, potential vegetation zones, and a 90 m riparian buffer. Land-cover classes were then regrouped int...

Automatic image classification often fails at separating a large number of land cover classes that punctually may present similar spectral reflectances. To improve the classification accuracy in such situations, multi-temporal satellite data has proven to be valuable auxiliary information. In this paper, we present a study exploring the usefulness of intra-annual satellite images timeseries for...

Land cover type is a crucial parameter that is required for various land surface models that simulate water and carbon cycles, ecosystem dynamics, and climate change. Many land use/land cover maps used in recent years have been derived from field investigations and remote-sensing observations. However, no land cover map that is derived from a single source (such as satellite observation) proper...