PATENT CLAIM ANALYSIS

Application Number: 15910958
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-09
Patent Classification: ["382", "113000"]

Abstract:
The present disclosure provides an area of interest boundary extracting method and apparatus, a device and a computer storage medium, wherein the area of interest boundary extracting method comprises: obtaining a satellite image and a road network base map including an area of interest; merging the obtained satellite image and road network base map to obtain merged data; using a binarizing model to perform binarization for the merged data to obtain a binarized image, wherein the binarizing model is obtained by training according to training data in advance; extracting a boundary of the binarized image as the boundary of the area of interest. According to the present disclosure, the boundary extracting costs are reduced and automatic and accurate extraction of the boundary of the area of interest is implemented by obtaining the satellite image and the road network base map including the area of interest, and inputting the data formed by merging the satellite image with the road network base map into the binarizing model.

Claim (Index 5):
The method according to  claim 1 , wherein the merging the obtained satellite image and road network base map to obtain merged data comprises:\n performing weight combination for the satellite image grayscale map and the road network base map to obtain weight-combined channel data; merging RGB channel data of the satellite image with the weight-combined channel data to obtain merged data.

Metadata:
- Claim Count in Document: 34.0
- Percentile: 90.0
- Lexical Diversity: 2.70769
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['10794534', '14948260', '13281619', '11613659', '14441471']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3052154681130308
- 35 USC 102 Novelty (BERT): 0.4995781464209439
- Combined Prediction Score: 0.3246517359438221
- Mean Citation Score: 189.079104
- Max Citation Score: 197.18428
- Similarity Product: 131.94200493007182

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

Dataset: test