PATENT CLAIM ANALYSIS

Application Number: 15888424
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-08
Patent Classification: ["382", "159000"]

Abstract:
Aspects described herein apply machine learning techniques for image recognition and classification to the processing of topographic imagery, in order to permit more accurate and detailed topographic representations of an area to be obtained. In particular, in one embodiment a machine learning system is trained with existing topographic imagery and corresponding topographic data relating to a particular area, so that the machine learning system is then able to relate actual physical topographical features to their topographic representations in existing data. Having been so trained, the machine learning system may then be used to process topographic imagery data of the same area to determine new topographic details thereof for incorporation into the topographic data.

Claim (Index 12):
A method according to  claim 5 , wherein the recognising further comprises inferring similarities between topographical features having similar attributes, the generated topographical data indicating the similarities indicated by such inferences.

Metadata:
- Claim Count in Document: 11.0
- Percentile: 88.0
- Lexical Diversity: 1.81818
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15608894', '12894752', '14724660', '15335414', '15714376']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2614306186333606
- 35 USC 102 Novelty (BERT): 0.5067248025229211
- Combined Prediction Score: 0.2859600370223166
- Mean Citation Score: 175.147126
- Max Citation Score: 191.59824
- Similarity Product: 117.8910822258854

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 0

Dataset: test