FILTERS
Results for " lidar "
Displaying 2 of about 2 results… os seus investimentos em RRD previstos e aconselhá-las sobre a melhor forma de lidar com questões regionais que vão para além das capacidades e/ou mandatos locais. …
13.042771 <= product of:
... 13.042771 <= sum of:
... ... 13.042771 <= weight(tm_X3b_en_saa_field_attachment:lidar in 487) [SchemaSimilarity], result of:
... ... ... 13.042771 <= score(freq=1.0), computed as boost * idf * tf from:
... ... ... ... 8.000000 <= boost
... ... ... ... 3.252178 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from:
... ... ... ... ... 182.000000 <= n, number of documents containing term
... ... ... ... ... 4716.000000 <= N, total number of documents with field
... ... ... ... 0.501309 <= tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from:
... ... ... ... ... 1.000000 <= freq, occurrences of term within document
... ... ... ... ... 1.200000 <= k1, term saturation parameter
... ... ... ... ... 0.750000 <= b, length normalization parameter
... ... ... ... ... 12312.000000 <= dl, length of field (approximate)
... ... ... ... ... 15948.703000 <= avgdl, average length of field
... 1.000000 <= float(boost_document)=1.0
… can be de- ployed to acquire data including InSAR and other satellite data, drone, LiDAR, and sensor technol- ogies, among others. Knowledge gaps in the re- gion, …
8.258234 <= product of:
... 8.258234 <= sum of:
... ... 8.258234 <= weight(tm_X3b_en_saa_field_attachment:lidar in 319) [SchemaSimilarity], result of:
... ... ... 8.258234 <= score(freq=1.0), computed as boost * idf * tf from:
... ... ... ... 8.000000 <= boost
... ... ... ... 3.252178 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from:
... ... ... ... ... 182.000000 <= n, number of documents containing term
... ... ... ... ... 4716.000000 <= N, total number of documents with field
... ... ... ... 0.317412 <= tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from:
... ... ... ... ... 1.000000 <= freq, occurrences of term within document
... ... ... ... ... 1.200000 <= k1, term saturation parameter
... ... ... ... ... 0.750000 <= b, length normalization parameter
... ... ... ... ... 32792.000000 <= dl, length of field (approximate)
... ... ... ... ... 15948.703000 <= avgdl, average length of field
... 1.000000 <= float(boost_document)=1.0