### Table 2: Selected spectral bands for each instrument. BAND MERIS ATSR-2 SeaWiFS VGT

"... In PAGE 4: ...he accuracy and precision of these simulations, i.e., the reference against which SEVIRI is calibrated, have been evaluated comparing simulations with calibrated observations acquired by spaceborne instruments (Go- vaerts and Clerici 2003). To this end, ERS2/ATSR-2, SeaStar/SeaWiFS, VEGETATION and Envisat/MERIS data have been collected over the desert targets simulated accounting for the actual observation conditions and spectral response of each instrument ( Table2 ). This analysis shows that the monthly mean relative bias between simulation and observation averaged over all targets remains low, but exhibits a small seasonal trend (Fig.... ..."

### Table 5: SeaWiFS l0to1a Input/Output Operations

1996

Cited by 36

### Table 3. Typical spectral features of high-resolution commercial satellite imagery.

2003

"... In PAGE 30: ... Satellite im- agery in the visible and near infrared portions of the spectrum is now available at a spatial resolution competitive with digital aerial images. Table3... In PAGE 31: ... Generally commercial satellite imagery can be acquired in GIS-ready format in- cluding georeferencing to either local or UTM coordinate systems. The spatial res- olution in the panchromatic band is on the order of 1 meter, whereas the resolution in 4-band multispectral images is on the order of 4 meters ( Table3 ). Although the excellent temporal and spatial resolution of currently available commercial satellite data would facilitate application to shoreline change and geomorphic analysis this application is still under development.... ..."

### Table 1: high resolution one-step inferences

"... In PAGE 1: ...Work supported by NSF grant No. CCR-9301031. q p q p q p q p q p q p disjoint(p,q) meet(p,q) overlap(p,q) covered_by(p,q) covers(q,p) inside(p,q) contains(q,p) equal(p,q) Figure 1: topological relations (high resolution case) disjoint. The complete table of such one-step inferences was derived in [Egenhofer,1991; Smith and Park,1992] (see Table1 ; notice that this is an extension |as we shall see, a surprisingly subtle one| of Allen apos;s classical work on temporal intervals [Allen,1983]). In some cases the re nement provided by the high res- olution relations is not needed.... In PAGE 4: ... Constraint satisfac- tion problems are typically NP-complete, although spe- cial classes can be solved in polynomial time. In the constraint satisfaction problems arising in con- nection to topological inference, the variables are pairs of distinct objects; all domains are the subsets of the set of eight topological relations in Table1 (or the ve in Ta- bles 2 and 3, or the two in Table 4), as dictated by the clause corresponding to the pair of objects; and for each triple (i; j; k) of objects we have a constraint, namely, that the value of the pair i; j, the value of the pair j; k, and the value of the pair i; k must be related as in Table 1 (or 2, or 3, or 4). For example, the topological expression (A overlaps B _ A equal B) ^ (B contains C) ^ (A inside D _ A contains D) is expressed by six variables (all unordered pairs of ob- jects from A, B, C, D).... ..."

### Table 1: high resolution one-step inferences

"... In PAGE 1: ...Work supported by NSF grant No. CCR-9301031. q p q p q p q p q p q p disjoint(p,q) meet(p,q) overlap(p,q) covered_by(p,q) covers(q,p) inside(p,q) contains(q,p) equal(p,q) Figure 1: topological relations (high resolution case) disjoint. The complete table of such one-step inferences was derived in [Egenhofer,1991; Smith and Park,1992] (see Table1 ; notice that this is an extension |as we shall see, a surprisingly subtle one| of Allen apos;s classical work on temporal intervals [Allen,1983]). In some cases the re nement provided by the high res- olution relations is not needed.... In PAGE 4: ... Constraint satisfac- tion problems are typically NP-complete, although spe- cial classes can be solved in polynomial time. In the constraint satisfaction problems arising in con- nection to topological inference, the variables are pairs of distinct objects; all domains are the subsets of the set of eight topological relations in Table1 (or the ve in Ta- bles 2 and 3, or the two in Table 4), as dictated by the clause corresponding to the pair of objects; and for each triple (i; j; k) of objects we have a constraint, namely, that the value of the pair i; j, the value of the pair j; k, and the value of the pair i; k must be related as in Table 1 (or 2, or 3, or 4). For example, the topological expression (A overlaps B _ A equal B) ^ (B contains C) ^ (A inside D _ A contains D) is expressed by six variables (all unordered pairs of ob- jects from A, B, C, D).... ..."

### Table 1: high resolution one-step inferences

"... In PAGE 1: ...Work supported by NSF grant No. CCR-9301031. q p q p q p q p q p q p disjoint(p,q) meet(p,q) overlap(p,q) covered_by(p,q) covers(q,p) inside(p,q) contains(q,p) equal(p,q) Figure 1: topological relations (high resolution case) disjoint. The complete table of such one-step inferences was derived in [Egenhofer,1991; Smith and Park,1992] (see Table1 ; notice that this is an extension |as we shall see, a surprisingly subtle one| of Allen apos;s classical work on temporal intervals [Allen,1983]). In some cases the re nement provided by the high res- olution relations is not needed.... In PAGE 4: ... Constraint satisfac- tion problems are typically NP-complete, although spe- cial classes can be solved in polynomial time. In the constraint satisfaction problems arising in con- nection to topological inference, the variables are pairs of distinct objects; all domains are the subsets of the set of eight topological relations in Table1 (or the ve in Ta- bles 2 and 3, or the two in Table 4), as dictated by the clause corresponding to the pair of objects; and for each triple (i; j; k) of objects we have a constraint, namely, that the value of the pair i; j, the value of the pair j; k, and the value of the pair i; k must be related as in Table 1 (or 2, or 3, or 4). For example, the topological expression (A overlaps B _ A equal B) ^ (B contains C) ^ (A inside D _ A contains D) is expressed by six variables (all unordered pairs of ob- jects from A, B, C, D).... ..."

### Table 1: high resolution one-step inferences

"... In PAGE 1: ...ork supported by NSF grant No. CCR-9301031. qp qp qp qp qp q p disjoint(p,q) meet(p,q) overlap(p,q) covered_by(p,q) covers(q,p) inside(p,q) contains(q,p) equal(p,q) Figure 1: topological relations #28high resolution case#29 disjoint. The complete table of such one-step inferences was derived in #5B Egenhofer,1991; Smith and Park,1992 #5D #28see Table1 ; notice that this is an extension |as we shall see, a surprisingly subtle one| of Allen apos;s classical work on temporal intervals #5B Allen,1983 #5D #29. In some cases the re#0Cnement provided by the high res- olution relations is not needed.... In PAGE 4: ... Constraint satisfac- tion problems are typically NP-complete, although spe- cial classes can be solved in polynomial time. In the constraint satisfaction problems arising in con- nection to topological inference, the variables are pairs of distinct objects; all domains are the subsets of the set of eight topological relations in Table1 #28or the #0CveinTa- bles 2 and 3, or the twoinTable 4#29, as dictated by the clause corresponding to the pair of objects; and for each triple #28i; j; k#29 of objects wehave a constraint, namely, that the value of the pair i; j, the value of the pair j; k, and the value of the pair i; k must be related as in Table 1 #28or 2, or 3, or 4#29. For example, the topological expression #28A overlaps B _ A equal B#29 ^ #28B contains C#29 ^ #28A inside D _ A contains D#29 is expressed by six variables #28all unordered pairs of ob- jects from A, B, C, D#29.... ..."

### Table 1. Performance for short loopsa

"... In PAGE 3: ... Our data clearly confirmed this suspicion: Shorter loops are predicted by all methods less accurately than long loops (Fig. 4 and Table1 ). The low- resolution data suggested that prediction accuracy decreased significantly for loops shorter than 10 residues, whereas the high-resolution data suggested the significant decrease to occur for loops shorter than 7 residues (Fig.... ..."

### Table 1. References for high-resolution spectroscopy of carbon and oxygen lines in Bootis stars

"... In PAGE 1: ... This pattern should be explained by a theoretical model. But especially the apparent solar abundance of the light elements is not based on solid grounds ( Table1 and 2). Estimations found in the literature are mostly based on LTE calculations and have used strongly blended lines.... In PAGE 2: ... Table 2. Carbon and oxygen abundances from the literature ( Table1 ) of well established members of the Bootis group; no error estimations are given in AN98(5), all results except of ST93(3) are based on LTE calculations Star [C] [O] HD 319 +0.05(20)4 HD 11413 +0.... ..."

### Table 3: SNN Clustering of Synthetic Data - High Resolution. 0 1 2 3 4 5 6 7 8

"... In PAGE 12: ...our technique captures the way that the classes of documents are generated, putting documents from classes 0 { 3 in one cluster and documents from classes 4 { 7 in another. At a higher resolution, shown in Table3 , only the documents generated from single concepts are put together. Note that there are only 2 misclassi ed documents in the low-resolution case, and only 4 misclassi ed documents for the high-resolution results.... ..."