TY - GEN
T1 - Pyramid integral image reconstruction algorithm for infrared remote sensing sea-land segmentation
AU - Wang, Penglin
AU - Zhuang, Yin
AU - Chen, He
AU - Chen, Liang
AU - Shi, Hao
AU - Bi, Fukun
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/12/1
Y1 - 2017/12/1
N2 - The middle wave infrared remote (MWIR) images has complex scene information, low contrast ratios, and bipolar problems. To solve these problems, we propose a method that uses pyramid integral image reconstruction algorithm achieving sea-land automation segmentation. First, we calculate a gradient feature map (GFM), which extracts the structural information from an MWIR scene. Then, the GFM uses for sum are table (SAT) generation. The pyramid integral image reconstruction technology uses different scale factor reconstruct MWIR images by using SAT. Then the adaptive threshold method is employed for the sea-land segmentation on the multi-scale integral reconstruction images. Finally, we get sea-land refine segmentation result of MWIR images by synthesis analysis the multi-scale reconstruction images. By using GFM and pyramid integral image reconstruction operation, are avoid with the complex gray scene information. The integral image reconstruction can enhance the structure information and improve the reconstruction image contrast. This paper proposed method is from structure and texture information view point for sea-land segmentation, so the bipolar problem is solve in our method for MWIR images sea-land segmentation.
AB - The middle wave infrared remote (MWIR) images has complex scene information, low contrast ratios, and bipolar problems. To solve these problems, we propose a method that uses pyramid integral image reconstruction algorithm achieving sea-land automation segmentation. First, we calculate a gradient feature map (GFM), which extracts the structural information from an MWIR scene. Then, the GFM uses for sum are table (SAT) generation. The pyramid integral image reconstruction technology uses different scale factor reconstruct MWIR images by using SAT. Then the adaptive threshold method is employed for the sea-land segmentation on the multi-scale integral reconstruction images. Finally, we get sea-land refine segmentation result of MWIR images by synthesis analysis the multi-scale reconstruction images. By using GFM and pyramid integral image reconstruction operation, are avoid with the complex gray scene information. The integral image reconstruction can enhance the structure information and improve the reconstruction image contrast. This paper proposed method is from structure and texture information view point for sea-land segmentation, so the bipolar problem is solve in our method for MWIR images sea-land segmentation.
KW - GFM
KW - MWIR
KW - Pyramid integral image
KW - SAT
KW - Sea-land segmentation
UR - http://www.scopus.com/inward/record.url?scp=85041837317&partnerID=8YFLogxK
U2 - 10.1109/IGARSS.2017.8127818
DO - 10.1109/IGARSS.2017.8127818
M3 - Conference contribution
AN - SCOPUS:85041837317
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 3763
EP - 3766
BT - 2017 IEEE International Geoscience and Remote Sensing Symposium
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017
Y2 - 23 July 2017 through 28 July 2017
ER -