PATENT CLAIM ANALYSIS

Application Number: 15883672
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-10
Patent Classification: ["382", "131000"]

Abstract:
A method for performing fault-tolerant reconstruction of an image of an object is provided. The method includes acquiring a dataset corresponding to the object via a plurality of sensors, and detecting anomalous data within the dataset based at least in part on a statistical difference between the anomalous data and reference data within the dataset. The anomalous data is acquired by at least a first sensor of the plurality, and the reference data is acquired by at least a second sensor of the plurality that neighbors the first sensor.

Claim (Index 4):
The method of  claim 2 , wherein reconstructing the image based at least in part on the dataset comprises:\n applying a scattering model to the dataset; and wherein a scaling process of the scattering model that determines an amplitude of a scatter contribution of the scattering model ignores lines of response corresponding to the first sensor.

Metadata:
- Claim Count in Document: 30.0
- Percentile: 86.0
- Lexical Diversity: 2.0
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14902084', '15686157', '14897105', '14440927', '15646173']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3433549700054414
- 35 USC 102 Novelty (BERT): 0.4790611987626172
- Combined Prediction Score: 0.3569255928811591
- Mean Citation Score: 167.571554
- Max Citation Score: 178.05733999999995
- Similarity Product: 129.7725829716718

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

Dataset: test