An Accurate Forest Fire Recognition Method Based on Improved BPNN and IoT.
Shaoxiong ZhengPeng GaoYufei ZhouZepeng WuLiangxiang WanFei HuWeixing WangXiangjun ZouShihong ChenPublished in: Remote. Sens. (2023)
Keyphrases
- high accuracy
- highly accurate
- high precision
- pairwise
- recognition algorithm
- pattern recognition
- preprocessing
- computationally efficient
- classification accuracy
- objective function
- completely automatic
- improved algorithm
- detection method
- unsupervised learning
- cost function
- significant improvement
- object recognition
- recognition rate
- probabilistic model
- clustering method
- experimental evaluation
- classification method
- dynamic programming
- bp neural network
- recognition process
- handwritten digits
- clustering algorithm