River Extraction from Remote Sensing Images in Cold and Arid Regions Based on Attention Mechanism
نویسندگان
چکیده
The extraction of rivers in cold and arid regions is great significance for applications such as ecological environment monitoring, agricultural planning, disaster warning. However, there are few related studies on river regions, it still its infancy. accuracy low, the details blurred. rapid development deep learning has provided us with new ideas, but lack corresponding professional datasets, current semantic segmentation network not high. This study mainly presents following. (1) According to characteristics a dataset was made support from remote sensing images these regions. (2) Combine transfer learning, migrate ResNet-101 LinkNet network, introduce attention mechanism obtain AR-LinkNet which used improve recognition network. (3) A channel module spatial residual structure proposed strengthen effective features accuracy. (4) Combining dense atrous pyramid pooling (DenseASPP) expands receptive field, can extract more detailed information increase coherence extracted rivers. (5) For first time, binary cross-entropy loss function combined Dice applied function, accelerates convergence improves image quality. Validation shows that, compared typical networks, method performs better evaluation metrics recall, intersection ratio, precision, F 1 score, clearer coherent.
منابع مشابه
Farmland Parcels Extraction Based on High Resolution Remote Sensing Images
Extracting farmland parcels from high resolution remote sensing images is an important issue for land-use dynamic monitoring, precision agriculture and other fields. However, the traditional method, using GIS software and manual digital, has wasted a lot of human and material resources. In addition, the results are impacted by the human factors obviously. Therefore, an automatically extraction ...
متن کاملExtraction of hydrographic regions from remote sensing images using an oscillator network with weight adaptation
We propose a framework for object extraction with accurate boundaries. A multilayer perceptron is used to identify seed points through examples, and regions are extracted and localized using a locally coupled network with weight adaptation. A functional system has been developed and applied to hydrographic region extraction from Digital Orthophoto Quarter–Quadrangle images.
متن کاملRoad Extraction from High Resolution Remote Sensing Images based on Multi-features and Multi-stages
Road extraction from high resolution remote sensing imagery is very important for many applications such as GIS data updating, transportation management and city planning. In this paper we propose a semi-automatic multi-stage method to extract roads from high resolution remote sensing imagery based on multi-features. The proposed method contains two main steps, i.e. segmenting original image wi...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Wireless Communications and Mobile Computing
سال: 2022
ISSN: ['1530-8669', '1530-8677']
DOI: https://doi.org/10.1155/2022/9410381