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 16):
A method according to  claim 5 , wherein the trained machine learning system has been topographically trained by:\n a) providing an untrained machine learning system implemented on a computer system; b) inputting remotely sensed data pertaining to the topography of a first geographic area in the untrained machine learning system for use as training data; c) inputting topographic data relating to the first geographic area and having known topographic semantic labelling into the untrained machine learning system as topographic training data; d) training the untrained machine learning system, with the remotely sensed data and the topographic data of the first geographic area, to associate topographical features in the remotely sensed data of the first geographic area with the corresponding topographic semantic label specified by the input topographic data of the first geographic area.

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): 0.2608841520548373
- 35 USC 102 Novelty (BERT): 0.5095071467350478
- Combined Prediction Score: 0.2857464515228584
- Mean Citation Score: 175.147126
- Max Citation Score: 191.59824
- Similarity Product: 114.08463368433952

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